Senior Systems Engineer jobs at Deloitte - 117 jobs

Product Engineering Architect PxE ERM
Deloitte 4.7
Senior systems engineer job at Deloitte
Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on April 24th, 2025. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. + Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive the application of those new technologies. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. + Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: + Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. + Limited immigration sponsorship may be available Required Qualifications: + A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. + 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks. + 5+ years of experience in designing and architecting enterprise solutions. + 5+ years of hands-on experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. + 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI. + Prior experience with AWS technologies-including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock-as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures. + Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. + Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ PXE_JOBS #EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
$71k-91k yearly est. 60d+ ago

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Senior Databricks Data Engineer & Team Lead (Remote)
Ernst & Young Oman 4.7
Palo Alto, CA jobs
A global consulting firm seeks a Manager of Data Engineering in Palo Alto. The role involves leading complex cloud analytics solutions using Databricks, mentoring data engineers, and engaging with clients to translate business needs into effective technical solutions. Applicants should have a relevant degree, 4-6 years of data engineering experience, and strong skills in cloud technologies. The position offers a competitive salary and the opportunity for flexible work arrangements. #J-18808-Ljbffr
$137k-206k yearly est. 5d ago
Power Systems Engineer, Microgrids
Intersect 4.2
Remote
Location & Team GatheringsIntersect has been a fully flexible workplace since its founding in 2016. We've been very intentional about the way we do things. We are not work-from-home, hybrid, or in-office - we are any and all of those options! Deepening social connections and offering shared experiences is a cornerstone of the way we work. We connect as a team at our Team Week experiences four times a year and at our recently established Hub locations - SF Bay Area, NYC Metro Area, NY; Denver, CO; Houston, TX; Calgary, AB; and Toronto, ON. We are currently looking for candidates located within 60 miles of any of the listed hubs to foster more in-person connections while maintaining our flexible remote culture. About This RoleAs part of Intersect's Microgrid Engineering team, you'll apply advanced power system theory, simulation expertise, and real-world engineering judgment to design and validate high-performance microgrid control systems. You'll partner closely with controls engineers, electrical design teams, external suppliers, and utility operators to develop fit-for-purpose power system models and validate controller behavior across both normal and contingency conditions. Your work will help prove what's possible-supporting microgrids that reliably power gigawatts of critical datacenter load at unprecedented scale. Team OverviewThis team plays a critical role in advancing Intersect's mission to accelerate the clean energy transition, supporting large-scale infrastructure that delivers reliable, cost-effective power. The Microgrid Engineering team collaborates across engineering, controls, and external partners to design, test, and validate systems that operate under complex and demanding conditions. Joining this team means contributing to high-impact projects while growing your technical depth alongside experienced engineers tackling some of the industry's most challenging power system problems. What You'll DoModel and Simulate Microgrid Dynamics• Build and oversee the development of detailed EMT and dynamic models representing loads, supervisory controls, protection schemes, and generation assets including batteries, wind, PV, reciprocating engines, and turbines.• Identify key system parameters from design documentation, requirements, and field data to ensure models accurately reflect real-world behavior. Validate System Stability and Performance• Identify and simulate contingency events such as breaker trips, generator failures, and fault conditions to confirm system stability and performance• For grid-connected systems, simulate response to grid disturbances and assess compliance with interconnection agreements, model quality standards, and ancillary market requirements Partner Across Engineering and Suppliers• Collaborate with adjacent engineering teams to understand system design, control logic, communication latencies, and protection schemes, feeding simulation insights back into design decisions• Evaluate supplier documentation and models to characterize expected behavior and operational limitations of generation and storage assets Feeding simulation insights back into design decisions Evaluate supplier documentation and models Support Testing, Optimization, and Field Validation• Assess design options by evaluating performance tradeoffs and long-term cost impacts from a power system stability perspective.• Participate in Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing, site validation planning, and performance verification.• Support post-event analysis through field data review, model correlation, and model playback to continuously improve system fidelity. What You'll Bring•M.S. or PhD in Electrical Engineering with an emphasis in power systems or control systems•4-8+ years of experience performing EMT and dynamic power system studies for microgrids, islanded systems, or weak-grid environments•Hands-on experience with PSCAD or similar EMT tools; familiarity with Simulink or Modelica and real-time simulation methodologies including SIL and HIL• Strong understanding of inverter operating modes such as grid-forming, grid-following, and droop control• Experience modeling dynamic loads, including large and fast-changing datacenter loads, and assessing their impact on system stability• Familiarity with modeling communication delays, control system latencies, protection scheme interactions, and fault ride-through behavior• Knowledge of utility interconnection and market requirements, particularly within ERCOT, that will help you succeed in grid-interactive system studies• A collaborative, detail-oriented work style with the curiosity and persistence needed to solve complex, system-level engineering challenges Total Rewards At Intersect, we care about your well-being, growth, and balance. Here's how we support you: Total Compensation: USD$185,000 - $195,000 (total compensation includes base salary + bonus) Health & wellness: 100% premium coverage for you and your dependents on medical, dental, and vision Time to recharge: Unlimited PTO, plus two company-wide breaks (Fourth of July & end of year) Family support: Up to 12 weeks of fully paid parental leave, plus 6 additional weeks for birth parents; access to family planning and family care support through Carrot and MavenMental health: Free access to Spring Health, including 5 free therapy and psychiatry sessions, plus a Headspace account for mindfulness and meditation through our physical health vendor, Wellhub+Perks & extras: $150 monthly food stipend, $150 monthly reimbursement for cell phone and internet, pet insurance allowance, full home office setup, free access to UrbanSitter with $625 in quarterly company-paid credits, ActiveHero, and One Medical
$185k-195k yearly Auto-Apply 6d ago
Industry X - Engineering System PTC Windchill PLM Consultant
Accenture 4.7
Columbus, OH jobs
WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X (*************************************************************************** . THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: + Take ownership of complex projects, serving as the technical and subject matter expert + Write new code or modify existing code, and document what you've done + Help the head architect and solution team design tools and applications, and get them working based on project goals + Record how each application is configured and designed + Catch and fix coding problems, and tweak and improve your work along the way + Test applications and build test cases and scenarios + Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) + At least 2 years of experience of PLM concepts and solutions + At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: + You're skilled at developing APIs + You have experience in Master Data Management (MDM) + You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) + You can handle large data migration + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$30.7-98.9 hourly 60d+ ago
Industry X - Engineering System PTC Windchill PLM Consultant
Accenture 4.7
Columbus, OH jobs
WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X. THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: * Take ownership of complex projects, serving as the technical and subject matter expert * Write new code or modify existing code, and document what you've done * Help the head architect and solution team design tools and applications, and get them working based on project goals * Record how each application is configured and designed * Catch and fix coding problems, and tweak and improve your work along the way * Test applications and build test cases and scenarios * Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Qualification Here's what you need: * At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) * At least 2 years of experience of PLM concepts and solutions * At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: * You're skilled at developing APIs * You have experience in Master Data Management (MDM) * You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) * You can handle large data migration * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Locations
$30.7-98.9 hourly 6d ago
AI & HPC Infrastructure Architect
Accenture 4.7
Columbus, OH jobs
The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: + Define and architect AI and HPC infrastructure strategies, selecting the right on-premises, cloud, and hybrid platforms, tools, and workflows to support diverse workload requirements + Develop end-to-end architecture roadmaps tailored to industry or functional needs, aligning business objectives with technical capabilities + Lead client workshops, assessments, and training sessions to guide adoption of AI/HPC technologies, best practices, and operating models + Provide thought leadership on emerging technologies (accelerators, composable systems, orchestration frameworks) to inform client strategies and enhance future-state designs Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Required Skills and Qualifications: + Minimum 4+ years' experience advising and engaging with C-Suite executives and senior leadership, translating complex AI and HPC technologies into business and strategic value + Minimum 4+ years of experience with infrastructure components including XPUs, high-performance fabrics (InfiniBand, Ethernet), and modern storage/data platforms (e.g. NVMe-oF, Lustre, BeeGFS, VAST, DDN, Weka) + Minimum 4+ years' experience with orchestration and management frameworks (Slurm, Kubernetes, Docker) and performance/monitoring tools for AI/HPC environments + Minimum 4+ years' experience of MLOps, DevSecOps, and automation principles (Terraform, Ansible) as they apply to large-scale, secure, and reproducible workflows + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: + Experience advising or overseeing large-scale AI/HPC deployments (1,000+ GPUs or clusters of 100+ servers), providing architecture and strategic guidance + Familiarity with GPU computing and accelerator ecosystems (NVIDIA CUDA, AMD ROCm) and integration considerations for HPC/AI workloads + Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and their operational and performance implications in HPC/AI environments + Industry experience in Life Sciences, Resources, Automotive, Financial Services, Telecommunications, or other HPC/AI-intensive sectors + Relevant cloud or infrastructure certifications (e.g., AWS Solutions Architect, GCP Professional Data Engineer) or equivalent technical credentials + Experience in workload planning, optimization, and orchestration guidance to align infrastructure with business and research objectives Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $94,400 to $316,300 Cleveland $87,400 to $253,000 Colorado $94,400 to $273,200 District of Columbia $100,500 to $291,000 Illinois $87,400 to $273,200 Maryland $94,400 to $273,200 Massachusetts $94,400 to $291,000 Minnesota $94,400 to $273,200 New York/New Jersey $87,400 to $316,300 Washington $100,500 to $291,000 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$101k-128k yearly est. 60d+ ago
AI & HPC Infrastructure Architect
Accenture 4.7
Columbus, OH jobs
The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: * Define and architect AI and HPC infrastructure strategies, selecting the right on-premises, cloud, and hybrid platforms, tools, and workflows to support diverse workload requirements * Develop end-to-end architecture roadmaps tailored to industry or functional needs, aligning business objectives with technical capabilities * Lead client workshops, assessments, and training sessions to guide adoption of AI/HPC technologies, best practices, and operating models * Provide thought leadership on emerging technologies (accelerators, composable systems, orchestration frameworks) to inform client strategies and enhance future-state designs Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Qualification Required Skills and Qualifications: * Minimum 4+ years' experience advising and engaging with C-Suite executives and senior leadership, translating complex AI and HPC technologies into business and strategic value * Minimum 4+ years of experience with infrastructure components including XPUs, high-performance fabrics (InfiniBand, Ethernet), and modern storage/data platforms (e.g. NVMe-oF, Lustre, BeeGFS, VAST, DDN, Weka) * Minimum 4+ years' experience with orchestration and management frameworks (Slurm, Kubernetes, Docker) and performance/monitoring tools for AI/HPC environments * Minimum 4+ years' experience of MLOps, DevSecOps, and automation principles (Terraform, Ansible) as they apply to large-scale, secure, and reproducible workflows * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: * Experience advising or overseeing large-scale AI/HPC deployments (1,000+ GPUs or clusters of 100+ servers), providing architecture and strategic guidance * Familiarity with GPU computing and accelerator ecosystems (NVIDIA CUDA, AMD ROCm) and integration considerations for HPC/AI workloads * Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and their operational and performance implications in HPC/AI environments * Industry experience in Life Sciences, Resources, Automotive, Financial Services, Telecommunications, or other HPC/AI-intensive sectors * Relevant cloud or infrastructure certifications (e.g., AWS Solutions Architect, GCP Professional Data Engineer) or equivalent technical credentials * Experience in workload planning, optimization, and orchestration guidance to align infrastructure with business and research objectives Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $94,400 to $316,300 Cleveland $87,400 to $253,000 Colorado $94,400 to $273,200 District of Columbia $100,500 to $291,000 Illinois $87,400 to $273,200 Maryland $94,400 to $273,200 Massachusetts $94,400 to $291,000 Minnesota $94,400 to $273,200 New York/New Jersey $87,400 to $316,300 Washington $100,500 to $291,000 Locations
$101k-128k yearly est. 5d ago
AI & HPC Infrastructure Engineer
Accenture 4.7
Columbus, OH jobs
We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: * Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs * Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings * Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments * Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks * Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency * Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks * Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Qualification Required Skills and Qualifications: * Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail * Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions * Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks * Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible. * Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: * Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled * Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm). * Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures) * Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments * Experience with HPC & AI workload management and optimization techniques * Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation * Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Locations
$78.5k-201.3k yearly 5d ago
AI & HPC Infrastructure Engineer
Accenture 4.7
Columbus, OH jobs
We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: + Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs + Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings + Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments + Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks + Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency + Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks + Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Required Skills and Qualifications: + Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail + Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions + Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks + Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible. + Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: + Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled + Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm). + Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures) + Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments + Experience with HPC & AI workload management and optimization techniques + Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation + Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$78.5k-201.3k yearly 60d+ ago
Industry X - Engineering System PTC Windchill PLM Consultant
Accenture 4.7
Cleveland, OH jobs
WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X (*************************************************************************** . THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: + Take ownership of complex projects, serving as the technical and subject matter expert + Write new code or modify existing code, and document what you've done + Help the head architect and solution team design tools and applications, and get them working based on project goals + Record how each application is configured and designed + Catch and fix coding problems, and tweak and improve your work along the way + Test applications and build test cases and scenarios + Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) + At least 2 years of experience of PLM concepts and solutions + At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: + You're skilled at developing APIs + You have experience in Master Data Management (MDM) + You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) + You can handle large data migration + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$30.7-98.9 hourly 60d+ ago
Industry X - Engineering System PTC Windchill PLM Consultant
Accenture 4.7
Cleveland, OH jobs
WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X. THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: * Take ownership of complex projects, serving as the technical and subject matter expert * Write new code or modify existing code, and document what you've done * Help the head architect and solution team design tools and applications, and get them working based on project goals * Record how each application is configured and designed * Catch and fix coding problems, and tweak and improve your work along the way * Test applications and build test cases and scenarios * Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Qualification Here's what you need: * At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) * At least 2 years of experience of PLM concepts and solutions * At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: * You're skilled at developing APIs * You have experience in Master Data Management (MDM) * You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) * You can handle large data migration * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Locations
$30.7-98.9 hourly 6d ago
Industry X - Engineering System PTC Windchill PLM Consultant
Accenture 4.7
Cincinnati, OH jobs
WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X (*************************************************************************** . THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: + Take ownership of complex projects, serving as the technical and subject matter expert + Write new code or modify existing code, and document what you've done + Help the head architect and solution team design tools and applications, and get them working based on project goals + Record how each application is configured and designed + Catch and fix coding problems, and tweak and improve your work along the way + Test applications and build test cases and scenarios + Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need: + At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) + At least 2 years of experience of PLM concepts and solutions + At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: + You're skilled at developing APIs + You have experience in Master Data Management (MDM) + You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) + You can handle large data migration + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$30.7-98.9 hourly 60d+ ago
Industry X - Engineering System PTC Windchill PLM Consultant
Accenture 4.7
Cincinnati, OH jobs
WHO WE ARE: We are Industry X: We embed innovation, intelligence, and sustainability in the way the world makes things and the things it makes. Industry X enables leaders to act quickly and confidently as they pivot to the future. We define Industry X as digital reinvention of manufacturing / engineering and believe that smart, sustainable, connected digital products and assets are about to create hyper-personalized industrial experiences, completely new levels of operational efficiency, transparency and traceability, tangible impact on sustainability and brand-new sources of revenue growth. Known for our ability to execute at speed, we help clients determine clear, actionable paths to competitive agility by bringing them new thinking on business and technology. Join us and become an integral part of our experienced Industry X team with the credibility, expertise, and insight clients depend on. Visit us here to find out more about Industry X. THE PRACTICE: This role will align with our Manufacturing & Operations - Product Engineering & Services practice and fall under the Engineering Systems capability. Product Engineering & Servicing professionals link engineering and product development spend to business value, unlocking new sources of growth for our clients. They operate at the core of our clients' product and service value chains; fusing hardware, software, connectivity and cloud, coupled with supporting engineering systems, to drive competitiveness while ensuring business results. Engineering Systems professionals are focused on digitizing, optimizing and transforming our clients' traditional and next generation R&D and engineering processes and tools. They combine deep knowledge of engineering systems, solutions, and tools that power process digitization including but not limited to deep PLM, Digital Thread/Twin, AI-powered engineering decision making cloud, MBSE tools, analytics tools, lab optimization, engineering compute and security. The work: * Take ownership of complex projects, serving as the technical and subject matter expert * Write new code or modify existing code, and document what you've done * Help the head architect and solution team design tools and applications, and get them working based on project goals * Record how each application is configured and designed * Catch and fix coding problems, and tweak and improve your work along the way * Test applications and build test cases and scenarios * Coach members of your workstream teams, sharing skills and motivation as needed Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Qualification Here's what you need: * At least 2 years of professional experience with a major PLM system (PTC Windchill, Dassault Systèmes 3DExperience, Siemens Teamcenter, SAP-PLM, Oracle Agile) * At least 2 years of experience of PLM concepts and solutions * At least 2 years of professional experience with IT systems for engineering or manufacturing Bonus points if: * You're skilled at developing APIs * You have experience in Master Data Management (MDM) * You know everything there is to know about systems implementation methodology (especially Agile and Waterfall) * You can handle large data migration * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Hourly Salary Range California $30.67 to $98.94 Cleveland $28.41 to $79.13 Colorado $30.67 to $85.48 District of Columbia $32.69 to $91.01 Illinois $28.41 to $85.48 Maryland $30.67 to $85.48 Massachusetts $30.67 to $91.01 Minnesota $30.67 to $85.48 New York/New Jersey $28.41 to $98.94 Washington $32.69 to $91.01 Locations
$30.7-98.9 hourly 6d ago
AI & HPC Infrastructure Engineer
Accenture 4.7
Cleveland, OH jobs
We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: * Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs * Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings * Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments * Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks * Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency * Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks * Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Qualification Required Skills and Qualifications: * Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail * Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions * Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks * Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible. * Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: * Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled * Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm). * Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures) * Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments * Experience with HPC & AI workload management and optimization techniques * Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation * Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Locations
$78.5k-201.3k yearly 5d ago
AI & HPC Infrastructure Engineer
Accenture 4.7
Cleveland, OH jobs
We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: + Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs + Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings + Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments + Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks + Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency + Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks + Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Required Skills and Qualifications: + Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail + Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions + Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks + Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible. + Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: + Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled + Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm). + Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures) + Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments + Experience with HPC & AI workload management and optimization techniques + Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation + Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$78.5k-201.3k yearly 60d+ ago
AI & HPC Infrastructure Engineer
Accenture 4.7
Cincinnati, OH jobs
We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: + Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs + Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings + Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments + Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks + Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency + Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks + Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Required Skills and Qualifications: + Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail + Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions + Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks + Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible. + Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows + Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: + Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled + Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm). + Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures) + Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments + Experience with HPC & AI workload management and optimization techniques + Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation + Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************ Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
$78.5k-201.3k yearly 60d+ ago
AI & HPC Infrastructure Engineer
Accenture 4.7
Cincinnati, OH jobs
We Are: The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: * Design and implement HPC and AI infrastructure solutions, aligning system architecture and deployment roadmaps to industry-specific performance and scalability needs * Deploy, configure, and manage XPU-based clusters (CPU/GPU/accelerators) using schedulers, VM/K8s orchestration platforms, Slurm, and containerized platforms in scalable designs to provide Metal as a Service (MaaS), GPUaaS, AIaaS, and other offerings * Optimize cluster performance, scalability, energy, and cost efficiency across on-premises, cloud, and hybrid environments * Integrate AI and HPC platforms with existing IT systems, data pipelines, and security frameworks * Monitor, troubleshoot, and tune infrastructure to ensure high availability, low-latency networking, and workload resiliency * Develop and maintain documentation including architecture diagrams, configuration baselines, and operational runbooks * Provide technical guidance and support to users, enabling efficient execution of HPC/AI workloads, large-scale models, and simulations. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Qualification Required Skills and Qualifications: * Minimum 4+ year of hands-on experience designing, deploying, and managing HPC and AI infrastructure across on-premises, cloud, and hybrid environments in 2 or more segments: hyperscaler, neocloud, large Enterprise, Telco/Mobile, supporting key industries such as Financial Services, Life Sciences, Manufacturing, and Retail * Minimum 4+ years' experience of accelerated computing architectures (GPUs, XPUs, DPUs), high-performance fabrics (InfiniBand, Ethernet), SONiC, networking, and modern storage/data platforms (e.g. NVMe-oF, Lustre, GPFS, BeeGFS, VAST, DDN, Weka) to build robust solutions * Minimum 4+ year experience with cluster management and orchestration (e.g. Slurm, Run:ai, Kubernetes, Docker), real-time performance monitoring, and observability frameworks * Minimum 4+ years' experience with cloud and virtualization platforms (e.g. AWS, Azure, GCP, VMware, Nutanix) and expertise in automation and optimization using scripting (Python, AI tools) with foundational Infrastructure-as-Code tools such as Terraform and Ansible. * Minimum 4+ year experience implementing MLOps and DevSecOps frameworks to enable secure, automated, and reproducible workflows * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: * Experience managing the deployment of 1,000+ GPU clusters for HPC and AI workloads with various infrastructure services enabled * Experience with GPU computing libraries and accelerators (e.g., NVIDIA CUDA, Dynamo, AMD ROCm). * Experience with AI and HPC Networking (e.g., RoCE, InfiniBand, muti-planar/multi-rail designs, platform buffer architectures) * Knowledge of Machine Learning and AI frameworks (e.g., TensorFlow, PyTorch, JAX), Jupyter notebooks / Google Colab environments * Experience with HPC & AI workload management and optimization techniques * Familiarity with DevOps practices and tools (e.g., Ansible, Terraform) for infrastructure automation * Industry certifications in NVIDIA infrastructure, public cloud providers, Data Science, etc. are a plus Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $73,800 to $218,800 Cleveland $68,300 to $175,000 Colorado $73,800 to $189,000 District of Columbia $78,500 to $201,300 Illinois $68,300 to $189,000 Maryland $73,800 to $189,000 Massachusetts $73,800 to $201,300 Minnesota $73,800 to $189,000 New York/New Jersey $68,300 to $218,800 Washington $78,500 to $201,300 Locations
$78.5k-201.3k yearly 5d ago
AI & HPC Infrastructure Architect
Accenture 4.7
Cleveland, OH jobs
The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: * Define and architect AI and HPC infrastructure strategies, selecting the right on-premises, cloud, and hybrid platforms, tools, and workflows to support diverse workload requirements * Develop end-to-end architecture roadmaps tailored to industry or functional needs, aligning business objectives with technical capabilities * Lead client workshops, assessments, and training sessions to guide adoption of AI/HPC technologies, best practices, and operating models * Provide thought leadership on emerging technologies (accelerators, composable systems, orchestration frameworks) to inform client strategies and enhance future-state designs Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Qualification Required Skills and Qualifications: * Minimum 4+ years' experience advising and engaging with C-Suite executives and senior leadership, translating complex AI and HPC technologies into business and strategic value * Minimum 4+ years of experience with infrastructure components including XPUs, high-performance fabrics (InfiniBand, Ethernet), and modern storage/data platforms (e.g. NVMe-oF, Lustre, BeeGFS, VAST, DDN, Weka) * Minimum 4+ years' experience with orchestration and management frameworks (Slurm, Kubernetes, Docker) and performance/monitoring tools for AI/HPC environments * Minimum 4+ years' experience of MLOps, DevSecOps, and automation principles (Terraform, Ansible) as they apply to large-scale, secure, and reproducible workflows * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: * Experience advising or overseeing large-scale AI/HPC deployments (1,000+ GPUs or clusters of 100+ servers), providing architecture and strategic guidance * Familiarity with GPU computing and accelerator ecosystems (NVIDIA CUDA, AMD ROCm) and integration considerations for HPC/AI workloads * Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and their operational and performance implications in HPC/AI environments * Industry experience in Life Sciences, Resources, Automotive, Financial Services, Telecommunications, or other HPC/AI-intensive sectors * Relevant cloud or infrastructure certifications (e.g., AWS Solutions Architect, GCP Professional Data Engineer) or equivalent technical credentials * Experience in workload planning, optimization, and orchestration guidance to align infrastructure with business and research objectives Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $94,400 to $316,300 Cleveland $87,400 to $253,000 Colorado $94,400 to $273,200 District of Columbia $100,500 to $291,000 Illinois $87,400 to $273,200 Maryland $94,400 to $273,200 Massachusetts $94,400 to $291,000 Minnesota $94,400 to $273,200 New York/New Jersey $87,400 to $316,300 Washington $100,500 to $291,000 Locations
$101k-129k yearly est. 5d ago
AI & HPC Infrastructure Architect
Accenture 4.7
Cincinnati, OH jobs
The Global Infrastructure Engineering AI & HPC team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI and High-Performance Computing (HPC). We bring together deep technical expertise across cloud, on-prem, and hybrid environments to design, build, and operate accelerated infrastructure that powers high-performance workloads at scale. Our solutions enable some of our most strategic and mission-critical clients to unlock new levels of performance, efficiency, and innovation. Our remit spans the full lifecycle-from strategy and architecture through implementation and operations-driving modernization across the entire infrastructure stack. We collaborate across the ecosystem to harness emerging technologies, fuel growth, and transform industries. In this rapidly growing market, our team is leading the way in shaping how enterprises leverage AI and HPC to drive breakthrough innovation and reimagine what's possible in infrastructure. Key Responsibilities: * Define and architect AI and HPC infrastructure strategies, selecting the right on-premises, cloud, and hybrid platforms, tools, and workflows to support diverse workload requirements * Develop end-to-end architecture roadmaps tailored to industry or functional needs, aligning business objectives with technical capabilities * Lead client workshops, assessments, and training sessions to guide adoption of AI/HPC technologies, best practices, and operating models * Provide thought leadership on emerging technologies (accelerators, composable systems, orchestration frameworks) to inform client strategies and enhance future-state designs Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements. Qualification Required Skills and Qualifications: * Minimum 4+ years' experience advising and engaging with C-Suite executives and senior leadership, translating complex AI and HPC technologies into business and strategic value * Minimum 4+ years of experience with infrastructure components including XPUs, high-performance fabrics (InfiniBand, Ethernet), and modern storage/data platforms (e.g. NVMe-oF, Lustre, BeeGFS, VAST, DDN, Weka) * Minimum 4+ years' experience with orchestration and management frameworks (Slurm, Kubernetes, Docker) and performance/monitoring tools for AI/HPC environments * Minimum 4+ years' experience of MLOps, DevSecOps, and automation principles (Terraform, Ansible) as they apply to large-scale, secure, and reproducible workflows * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience) Preferred Skills and Qualifications: * Experience advising or overseeing large-scale AI/HPC deployments (1,000+ GPUs or clusters of 100+ servers), providing architecture and strategic guidance * Familiarity with GPU computing and accelerator ecosystems (NVIDIA CUDA, AMD ROCm) and integration considerations for HPC/AI workloads * Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and their operational and performance implications in HPC/AI environments * Industry experience in Life Sciences, Resources, Automotive, Financial Services, Telecommunications, or other HPC/AI-intensive sectors * Relevant cloud or infrastructure certifications (e.g., AWS Solutions Architect, GCP Professional Data Engineer) or equivalent technical credentials * Experience in workload planning, optimization, and orchestration guidance to align infrastructure with business and research objectives Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location Annual Salary Range California $94,400 to $316,300 Cleveland $87,400 to $253,000 Colorado $94,400 to $273,200 District of Columbia $100,500 to $291,000 Illinois $87,400 to $273,200 Maryland $94,400 to $273,200 Massachusetts $94,400 to $291,000 Minnesota $94,400 to $273,200 New York/New Jersey $87,400 to $316,300 Washington $100,500 to $291,000 Locations
$101k-128k yearly est. 5d ago
Product Engineering Architect PxE ERM
Deloitte 4.7
Senior systems engineer job at Deloitte
Role Overview: As a Product Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Recruiting for this role ends on April 24th, 2025. Key Responsibilities: + Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. + Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable architecture and engineering standards-being responsible for product architecture blueprints, high-level architecture designs (e.g., "4+1 model" or relevant others), and integration architecture into the technical landscape and technology stack. + Engineering Craftsmanship: Possess passion and experience as an individual contributor, responsible for the engineering designs and technical feasibility of solutions, being hands-on with design, configuration and code part of the time, contributing to team velocity. Actively get engaged with engineers to ensure architecture is understood and can be implemented, working with them closely during sprints, helping resolve any technical issues through to production operations: reviewing code, actively driving technology debt reduction, and helping drive engineering quality. Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive the application of those new technologies. + Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams to deliver the right architectural solution for the product in the right way at the right time. + Incremental and Iterative Delivery: Exhibit a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. + Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. + Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including OOD/OOP, Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment, deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing approaches. Act as a Role-Model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate proficiency in product development, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. + Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs and UX/UI designs into technical requirements and designs. Navigate various enterprise functions such as business and enabling areas as well as product, experience, delivery, infrastructure, and security to drive product value and feasibility as well as alignment with organizational goals. + Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence stakeholders at all levels through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Create coherent narratives that align technical solutions with business objectives. + Engagement and Collaborative Co-Creation: Engage and collaborate with stakeholders at all organizational levels, from team members to senior executives. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The successful candidate will possess: + Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. + Limited immigration sponsorship may be available Required Qualifications: + A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor. + 6+ years of experience with multiple programming languages such as Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, as well as unit testing frameworks. + 5+ years of experience in designing and architecting enterprise solutions. + 5+ years of hands-on experience with cloud-native engineering, using FaaS, PaaS, and micro-services on cloud hyperscalers such as Azure, AWS (mandatory), or GCP. + 3+ years of experience with AI/ML and GenAI, specifically working with large language models (LLMs) such as OpenAI, Anthropic, Claude, and Gemini, including practical engineering of AI/ML-driven applications and solutions leveraging Generative AI. + Prior experience with AWS technologies-including Glue pipelines, Step Functions, EMR, Lambda, Neptune, Redshift, Aurora, SQS/SNS, Athena, OpenSearch, AppSync, SageMaker, and Bedrock-as well as with Snowflake and Apache Iceberg table formats in cloud-based data architectures. + Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations. + Prior experience using methodologies & tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly. + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ PXE_JOBS #EA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
$71k-90k yearly est. 60d+ ago