Systems Architect jobs at Lenovo - 43 jobs

General Information Req # WD00078651 Career area: Hardware Engineering Country/Region: United States of America State: North Carolina City: Morrisville Working time: Full-time Additional Locations: * United States of America - North Carolina - Morrisville Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit *************** and read about the latest news via our StoryHub. Description and Requirements About Our Team We are hiring a Server System and Rack Power Architect/SME to work in Lenovo's Cloud Service Provider Group (CSP). This is a fast-paced customer-centric organization that will adapt to changing market demands to serve customer needs. We're the only company with true end-to-end capabilities for even the most unique solution. Our CSP solutions are designed, built and deployed worldwide - all in-house. What You'll Do * This position is responsible for covering all development engineering aspects of DC power design and ensuring design can meet our product (GPU Rack, Server and Storage Systems) requirements * Perform spec reviews, discussions and technology comparisons and recommend power solutions and vendor selections * Provide system power design solution for new system and rack concept * Conduct market research on new power technology * Generate detailed reviews on design and checklist for validation and test plan guidance * Selects components and equipment based on analysis specifications and reliability * Designs, analyzes, develops, modifies and evaluates electrical/electronic parts, components, sub-systems, algorithms, or integrated circuitry for electrical/electronic equipment and other hardware systems * Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs * Power Technology roadmap * Design areas are DC-DC VRs for CPU, 48V/12V, etc, rack power solution and distribution(DC busbar, power shelf, BBU shelf, capacitor shelf, etc) Basic Qualifications * Undergraduate BSEE or BSCE degree required * 8+ years working experience on DCDC power development on server/Storage products with good design and evaluation engineering skill * Must have DC regulator design experiences. Preferred Qualifications * A Master's degree in Computer or Electrical Engineering is a plus * Hyperscale/Cloud experience * Experience in direct customer technical engagements * Ability to understand customer requirements; interpret these requirements and convert them into a competitive CSP platform portfolio * Deep knowledge of X86 Intel server architecture * Knowledge of design elements of OCP (Open Compute Project) based HW is a plus * Power shelf, BBU shelf, Capacitor shelf, DC busbar * Excellent communication skills, including verbal, written, and presentation * Ability to interface with Lenovo and customer executives The base salary range for this position is $190K -$220K. Individuals may also be considered for bonus and/or commission. Lenovo's various benefits can be found on *********************** In compliance with Colorado's EPEWA, the expected Application Deadline for this position is 9/30/2025 - this applies to both internal and external candidates. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class. Additional Locations: * United States of America - North Carolina - Morrisville * United States of America * United States of America - North Carolina * United States of America - North Carolina - Morrisville

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor! What you'll be doing: Collaborating closely with customers to improve their workload performance and reduce infrastructure costs. Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed. Developing and debugging software for NVIDIA and open-source AI frameworks and libraries. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience. 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs. Experience with profiling and optimizing model training/inference performance on GPUs. Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels. Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations. A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing. Self-starter with a passion for growth, continuous learning, and sharing insights with the team. Ways to stand out from the crowd: Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cu DNN/NCCL). Experience working with enterprise developers and strong customer-facing skills. Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments. Experience with large-scale production data pipelines and AI model training/deployment. Creative problem-solving skills for debugging and resolving complex issues. We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team! Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family: *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor! What you'll be doing: Collaborating closely with customers to improve their workload performance and reduce infrastructure costs. Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed. Developing and debugging software for NVIDIA and open-source AI frameworks and libraries. Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience. 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs. Experience with profiling and optimizing model training/inference performance on GPUs. Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels. Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations. A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing. Self-starter with a passion for growth, continuous learning, and sharing insights with the team. Ways to stand out from the crowd: Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cu DNN/NCCL). Experience working with enterprise developers and strong customer-facing skills. Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments. Experience with large-scale production data pipelines and AI model training/deployment. Creative problem-solving skills for debugging and resolving complex issues. We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team! Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family: *********************** Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an experienced GPU and network systems Solutions Architect & Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA SA organization, you will be driving deployment of our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product roadmap. What you will be doing: Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer. Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-specific requirements to product teams to guide product roadmap features. Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the GPU/Network Systems Engineering, Product management and Sales teams Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions Build custom product demonstrations and POCs for solutions that address critical business needs of our customers Analyze and debug compute/network configuration, performance issues to deliver performant clusters What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 8+ years of Systems/Solution Engineering (or similar Engineering roles) experience System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes Effective time management and capable of balancing multiple tasks Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: External customer facing background Experience with bringup and deployment of large clusters Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers Hands-on experience with NVIDIA GPU systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g. NICs, RoCE, InfiniBand), and/or ARM CPU solutions Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The ideal candidate will have a strong technical background in accelerated computing technology and artificial intelligence and leverage those skills to help government programs within the Intelligence Community segment of the Federal market. They will collaborate closely with product, engineering, and federal customers to accelerate NVIDIA technology adoption and ensure successful integration and implementation of our products. A successful candidate will possess the ability to transcend boundaries, working effectively with product teams, account managers, field organization, and customers to drive success. This could be your most rewarding career move, working with the Federal Government during a critical time of transformation and investment. What you'll be doing: Align and own the technical strategy for key customer engagements by collaborating with public sector domain experts and business development professionals. Educate developers on NVIDIA AI SDKs, accelerated containers, and AI models. Co-develop pilots and SDKs. Educate C-Suite-level decision-makers about the benefits of AI and accelerated computing. Manage communication with customers and NVIDIA Management. Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation, and tools. Ability to travel up to 20%. What we need to see: The position requires the ability to solve complex multidisciplinary problems. They will often be responsible for leading the resolution of technical issues across multiple engineering teams and coordinating the solutions to the customer. B.Sc. in Electrical Engineering, Computer Science or equivalent experience. 8+ years supporting the Intelligence Community Knowledge and experience with high performance Networking or GPU application acceleration is preferred. Strong interpersonal skills and the ability to work directly with customers. Subject Matter Expertise (SME) in Cyber, Signal Processing, or High-Performance Data Analytics Please be ready to provide specific examples of engagement with Intelligence Community to delivery technology solutions that meet mission needs of the customers. Critical thinking capability, the ability to concisely communicate vision (both written and verbal) and engage in cross-functional collaboration. Ways to stand out from the crowd: Understanding and practical experience accelerating digital signal processing applications. Experience building and/or integration artificial intelligence solutions. Familiarity with high-rate data movement and the CUDA programming model. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, independent, and focused on serving the mission of the U.S. Federal Government, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Interested in architecting innovative AI GPU platforms for data center and edge deployments at the world's top Retail, CPG, and QSR companies? We are looking for a Senior Solution Architect for the Retail Industry team with domain specific knowledge and experience in assisting customers in architecting their next-generation environments for deploying NVIDIA technologies. From data center to edge, on embedded systems, in servers, or in the cloud, this role is the opportunity to design system architectures to assist customers in solving their complex, business use cases. We need a passionate, hard-working, and creative individual to help us pursue major opportunities in retail industry with specific focus on NVIDIA's Enterprise Platforms, GPUs, networking, and software stacks with Open Source platform solutions (MLOps, DevOps, K8s, containers). This role requires becoming a trusted technical advisor and leader to our customers who believe that accelerated computing, deep learning, advanced data science, and artificial intelligence is the new computing revolution. What you'll be doing: You will be part of our North America Retail Solution Architecture Team working to drive NVIDIA technology adoption and secure design wins at key Fortune 100 customers in both Data Center, Edge and Cloud Deployments. Driving adoption of NVIDIA's Accelerated Compute Platforms which use key technologies like virtualization, Kubernetes, Docker, and Run:AI with focus on growing our customer's DevOps and MLOps capabilities by using NVIDIA's modern architectures, solutions and blueprints to deploy world-class computing platforms. Leading customer proof-of-concepts (PoCs) of next-gen platforms for deploying Retail Industry solutions to key use-cases. Support the business development team through the sales process for GPU/Network hardware/software products. Owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies. Partnering with NVIDIA Engineering, Product, Sales teams for assistance in developing solutions and providing customer feedback to enable development and growth of NVIDIA's products What we need to see: BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) 8+ years delivering Enterprise Accelerated Computing (HPC, Deep Learning, Machine Learning) computing infrastructure. Demonstrate detailed industry knowledge of Retail with background in modern datacenters for enterprise computing architectures- Storage, Compute, and Software stacks. Exposure to GPU technology and GenAI software architectures. Direct experience architecting, managing, and supporting shared compute infrastructure software Experience working with enterprise developers and academic research community supporting computer vision, data analytics, or Deep Learning deployments Enjoy collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing Effective verbal/written communication, and technical presentation skills Self-starter with a passion for growth and an enthusiasm for continuous learning and sharing findings across the team Ways to stand out from the crowd: Experience architecting large-scale edge and compute clusters. Specialty skills in deploying large-scale GPU computing clusters to support AI workloads (Machine Learning, Deep Learning - Training and Inference) Experience with Containers, Kubernetes, or BCM for workload orchestration Knowledge of MLOps technologies such as Run:AI for large-scale deployments Able to think creatively to debug and solve complex problems Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

At the center of NVIDIA's culture are our five core values. These values are willingness to take risks, striving for excellence, intellectual honesty, directness and making a contribution. They apply everywhere we do business and infuse the spirit of our workforce. NVIDIAns are proud to have a workplace characterized by a lack of politics, respect for each individual's contribution, as well as open and direct person-to-person communication. Their commitment to intellectual honesty means that you can have honest conversations, recognize mistakes and learn from them. NVIDIA Public Sector is searching for a solutions architect with experience working along side the defense industrial base. The solutions architect will work closely with product, engineering, and our federal customers to accelerate and integrate NVIDIA technology into our partner's solutions. Solutions Architects are the technical interface for customers, providing depth and system support to enable successful integration and implementation of our products. A successful candidate will be able to cross boundaries, working both with product, the field organization and customers. What you'll be doing: Work with our customers to develop and implement the integration of accelerated computing technology and artificial intelligence into critical workloads, including digital signal processing, geospatial data processing, physics-based modeling and simulation environments, and data exploitation systems. Collaborate with public sector domain experts and business development professionals to align and own the technical strategy for key customer engagements. Educate developers on NVIDIA AI SDKs and models. Co-develop pilots and SDKS. Educate C-Suite level decision makers about AI and accelerated computing benefits. Manage communication to customers and NVIDIA Management. Provide constructive feedback to engineering and product regarding product requirements, customer experience, documentation and tools. What we need to see: The position involves the ability to solve complex multidisciplinary issues. They will frequently be required to lead the resolution of technical issues through multiple engineering groups, and coordinate the solutions to the customer. B.Sc. in Electrical Engineering, Computer Science or equivalent experience. 6+ years of experience. Knowledge and experience with high performance Networking or GPU application acceleration is preferred. High level English communication skills. Strong interpersonal skills and an ability to work directly with customers. Ways to stand out from the crowd: Understanding and practical experience accelerating digital signal processing applications. Experience building and/or integration artificial intelligence solutions. Familiarity with high rate data movement and the CUDA programming model. We are widely considered to be one of the technology world's most desirable employers. We have some of the most hardworking people in the world working with us. If you are creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solution Architects work with top minds with Financial Services Capital Markets and Exchange firms to accelerate High-Performance Computing and AI workloads across various use cases. We're seeking an inquisitive, hard-working, and creative individual passionate about helping solve challenges. Join us in this endeavor! What You'll Be Doing: Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations. Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures. Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology. Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction. Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers. What We Need To See: BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience) 12+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++ Experience with ML/DL algorithms with frameworks such as PyTorch, Spark, Dask, Jax, TensorFlow Ability to communicate ideas and share code clearly through blog posts, GitHub Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams) Effective verbal/written communication and technical presentation skills Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team Skilled in deploying ML/DL models at scale on public cloud computing and/or on-prem HPC clusters in production Ways To Stand Out From The Crowd: Demonstrate C/C++ programming proficiency with an understanding of software design, programming techniques, and algorithms, alongside experience performing performance optimizations. Familiarity with NVIDIA GPU architectures. GPU Development experience through NVIDIA CUDA-x libraries, cu BLAS, cu DNN. Knowledge of MLOps technologies such as containers, data center deployments, cluster management software, etc. Experience working with enterprise developers building HPC or data analytics applications. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior Technical Architect- Remote or Hybrid | Cary, NC We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job SAS Managed Cloud Services is seeking a Senior Technical Architect with expertise in SAS Viya and cloud modernization to serve as the dedicated architect to a key customer. In this role, you will be the primary technical authority guiding delivery and shaping the roadmap for migration, modernization, and compliance of critical analytic workloads to SAS Managed Cloud Services. Specifically, supporting this customer's transition from on-premises to Azure. You will be responsible for the end-to-end design, evaluation, and continual improvement of hosting best practices that balance application reliability, compliance (NIST, HIPAA, CJIS, FERPA), cost efficiency, and delivery speed. Working alongside the project team, you will guide modernization projects, oversee technical migrations, and advocate for the customer within SAS to support their regulatory, business, and innovation goals. As a Senior Technical Architect, you will: * Serve as the dedicated technical architect for all customer modernization initiatives, including Viya 4 solution mapping, Azure migration planning, and compliance assurance. * Act as a product and solution expert for SAS Viya and related SAS platforms, providing thought leadership to bridge new R&D advancements into managed application services for government analytics workloads. * Design, document, and maintain scalable, resilient, and compliant hosting architectures across SAS datacenters, Azure, and future Azure Government environments. * Develop technical solutions to accelerate delivery cycles. Provide input and direction on leveraging automation, standardized deployment models, and advanced cloud capabilities (AKS, Azure Networking, Azure Storage, Data Platforms). * Lead architectural reviews and technical risk assessments to keep alignment with NIST 800-53, HIPAA, CJIS, FERPA, and other data protection requirements. * Collaborate cross-functionally with SAS R&D, Cloud & Information Services, and Security to resolve technical blockers and support ongoing environment migration and integration. * Drive platform modernization by developing cloud-native, scalable resource strategies for both stateful and stateless services, ensuring efficient use of cloud resources and operational excellence. * Communicate actionable recommendations regarding security, reliability, operational performance, and cost optimization to both SAS and customer stakeholders. * Support delivery and migration scheduling, production readiness, and post-migration technical validation for major program workstreams. * Stay current with SAS Managed Cloud Services architecture standards, Azure platform advancements, and compliance frameworks * Provide technical leadership and direction to other technical resources and engineers. * Be encouraged to participate in open-source projects on behalf of SAS. * Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. * Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Required qualifications * Bachelor's degree, preferably in computer science, engineering or similar. * 8+ years of technical architecture experience. * Excellent problem solving, organizational, decision-making written, oral and interpersonal skills * Ability to conceptualize client needs and translate into specific solutions * Advanced negotiation skills to manage customer expectations * Experience architecting for public cloud delivery. Azure preferred. * Experience with microservices based applications. * Experience architecting for stateless and stateful services. * Experience with Docker containers and Kubernetes. * Experience with CI/CD pipelines. * Produce and communicate design documentation (architecture diagrams, non-functional requirements, and detailed solution architecture) * Excellent written and verbal communication in English. * Travel: as business requirements dictate. * Equivalant combination of related education, training and experience may be considered in place of the above qualifications. Additional competencies, knowledge and skills * Demonstrated leader in architecture topics (publishes articles, leads demand generation activities, and speaks at technical tracks for conferences and events * Strong facilitation and communications skills * Good knowledge of common technical environment technologies * Experience with SAS Viya * Experience with SAS 9 * Experience with Azure Well-Architected practices or other enterprise architecture frameworks World-class benefits Highlights include... * Comprehensive medical, prescription, dental and vision plans. * Medical plan options include: * PPO with low annual deductible and copays. * HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center). * Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge! * An industry-leading 401k plan. * Tuition Assistance Program and programs and resources to support your development * Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1. * Volunteer Time Off, parental leave and unlimited paid sick days. * Generous childcare benefits for all full-time employees. You are welcome here. At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact *************************. Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more. SASCLOUD

Are you a computational scientist, engineer or data scientist passionate about working on the frontiers of artificial intelligence and high performance computing (HPC)? NVIDIA is searching for a Solutions Architect to work with our customers in higher education and research. Solutions Architects are drawn from outstanding developers and scientists who enjoy helping our customers use the NVIDIA platform to make ground-breaking advances. We need people who can develop positive relationships with customers, learn their requirements and work to bring solutions that enable their success. Your primary responsibilities will be to lead HPC and AI technical engagements at universities and research institutions. You should be comfortable working in a dynamic environment, and have experience with HPC, deep learning and GPU technologies. Your ability to work independently is important, and you will rely upon your excellent interpersonal skills during customer engagements. We expect you to work collaboratively across the entire team, including sales, program management and business development. What you'll be doing: Engage customers with curiosity to understand their goals, strategies, and technical needs and help to deliver innovative solutions based on NVIDIA's accelerated computing platforms for ML/DL, data science and HPC. Stay abreast of the state of the art in scientific and AI computing ecosystems. Document what you know and teach others. This can include building targeted training, writing whitepapers, blogs, and wiki articles, and working through hard problems with a customer on a whiteboard. Provide customer requirements to engineering to foster product and platform improvements. We make heavy use of conferencing tools, but 20% travel is required for this role. You are empowered to find the best way to get your job done and do what it takes to make our customers successful. What we need to see: BS, MS or PhD in Engineering, Mathematics, Physical Sciences, or Computer Science or equivalent experience. 5+ years relevant work experience. Experience porting and/or optimization scientific applications targeting GPUs. Excellent communication skills particularly in the presentation of highly technical material. Enjoy life-long learning, interacting with forward-thinking people, and staying at the forefront of the technology ecosystem. Strong fundamentals in programming, problem-solving and debugging skills Excellent presentation, communication and collaboration skills Ways to stand out from the crowd: Experience working with the academic research community supporting HPC or AI Full-stack scientific computing experience including parallel programming in languages such as C/C++, Python, CUDA, OpenACC, OpenMP and MPI. Experience designing and implementing computing infrastructure to support AI and HPC workloads. Experience with orchestration and containerization tools used to manage a shared computing environment. (e.g. Slurm, Kubernetes, NVIDIA Base Command Manager, Docker, Apptainer/Singularity) Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking outstanding Solutions Architect to help grow our OEM enterprise AI business. At NVIDIA, our solutions architects work across different teams and enjoy helping partners and customers with the latest Accelerated Computing and Generative AI, and AI Factory deployments. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our OEM partners and work on exciting software solutions focused on enabling enterprise Generative AI workflows. You should be comfortable working in a multifaceted environment and have experience with Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA! What You Will Be Doing: Working with our OEM partners to architect enterprise-grade end-to-end generative AI SW solutions. Collaborate closely with OEM partners' SW development teams to help craft world-class joint AI solutions. Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of Generative AI capabilities. Work closely with NVIDIA engineering teams to provide feedback and contribute to the evolution of generative AI software. Engage directly with customers/partners to understand their requirements and challenges. Lead workshops and design sessions to define and refine generative AI solutions with a strong emphasis on enterprise workflows. Implement strategies for efficient and effective training of LLMs to achieve peak performance. Design and implement RAG-based workflows to improve content generation and information retrieval. What We Need To See: 3-5+ years of hands-on experience as a solution architect or similar with a specific focus on AI solutions. BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience) Proven track record of successfully deploying and optimizing Generative AI models for inference in production environments. Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers. Proficiency in model deployment and optimization techniques for efficient inference on various hardware platforms, with a focus on GPUs. Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference. Excellent communication and collaboration skills with the ability to articulate complex technical concepts to both technical and non-technical collaborators. Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences. Ways To Stand Out From The Crowd: Experience in deploying Generative AI models in cloud environments and on-premises infrastructures. Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM. Proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Familiarity with Docker or equivalent experience in containerization technologies and Kubernetes for scalable and efficient model deployment. Deep understanding of GPU cluster architecture, parallel computing, and distributed computing concepts. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 218,500 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Technical Architect - Remote US or Hybrid | Cary, NC Nice to meet you! We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the job SAS Managed Cloud Services (MCS) is seeking a Technical Architect with a passion for building a world-class customer experience by designing and standardizing the developer, product support, and operator toolchain for SAS Viya workloads on Azure and AWS. You will focus on empowering project and operations teams through CI/CD automation, data-movement pipelines, observability, and well-documented SDKs in order to enable teams to ship, monitor, and scale SAS workloads with confidence and consistency. In this role, you will lead the design and integration of platform toolchains that support modern cloud-native operations and software development practices. You will partner closely with product, engineering, and operations teams to keep our cloud services easy to consume, ultimately elevating the customer and developer experience. As a Technical Architect, you will: * Design, implement, and optimize the end-to-end toolchain (including CI/CD pipelines, data-movement processes, observability tooling, and SDKs) that powers development, deployment, and operation of SAS solutions in Azure and AWS. * Lead initiatives to simplify onboarding, streamline deployments, and enhance self-service capabilities for internal and external users. * Build resilient frameworks that enable rapid, safe releases and real-time monitoring, ensuring robust performance and quick recovery from failures. * Work with product, engineering, and operations to align platform capabilities with customer and market needs, driving continuous improvement in service delivery. * Produce clear architectural diagrams, playbooks, and technical documentation to support onboarding, troubleshooting, and operational excellence. * Promote cost optimization, security best practices, and operational automation throughout the toolchain lifecycle. * Continuously evaluate emerging cloud and DevOps technologies, integrating best-of-breed solutions into our platform to maintain a leading edge. * Be encouraged to participate in open-source projects on behalf of SAS. * Ensure all applicable security policies and processes are followed to support the organization's secure software development goals. * Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Required Qualifications * 5+ years of experience in technical architecture, DevOps, or platform engineering roles. * Bachelor's degree, preferably in computer science, engineering, or a related field. * Equivalent combination of related education, training and experience may be considered in place of the above qualifications. * Experience designing and managing developer/operator toolchains, including CI/CD pipelines, infrastructure as code, and observability platforms. * Hands-on experience with Azure and AWS cloud environments. * Experience with Kubernetes, Docker, and microservices-based applications. * Proficiency in scripting, automation, and SDK/API development. * Demonstrated ability to produce technical documentation, including architecture diagrams and solution design documents. * Equivalent combination of related education, training and experience may be considered in place of the above qualifications. Additional competencies, knowledge and skills * Demonstrated leader in architecture topics (publishes articles, leads demand generation activities, and speaks at technical tracks for conferences and events * Strong facilitation and communications skills * Good knowledge of common technical environment technologies * Experience with SAS Viya, analytics platforms, or large-scale data processing environments. * Familiarity with Agile development and Scrum Product Owner practices. * Background in customer success, developer relations, or platform enablement. World-class benefits Highlights include... * Comprehensive medical, prescription, dental and vision plans. * Medical plan options include: * PPO with low annual deductible and copays. * HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center). * Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge! * An industry-leading 401k plan. * Tuition Assistance Program and programs and resources to support your development * Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1. * Volunteer Time Off, parental leave and unlimited paid sick days. * Generous childcare benefits for all full-time employees. You are welcome here. At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact *************************. Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more. S

We are now looking for a Senior GPU & Deep Learning Architect! The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture, especially for deep learning workloads, both training and inference, and maintain our leadership by developing new parallel programming models, and new architectures required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators, mapping deep learning workloads to current and future hardware, and validate new architectural features. What you'll be doing: * Design new hardware features for future processing architectures targeted at deep learning workloads, for both training and inference. * Advance the state of parallel computation. * Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases. * Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models. * Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures * Be hungry to learn and work on simulators, RTL and real silicon. What we need to see: * MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. * Experience in working with hardware targeted at deep learning, or working on mapping deep learning algorithms to hardware. * 8+ years of relevant industry experience in GPU or other parallel programming architectures (or other equivalent experience). * Strong programming ability in C, C++, Perl and Python. * Background in computer architecture, parallel processing, signal processing and/or high performance computing. * Knowledge of state of the art in DL algorithms and attention mechanisms is a huge plus. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our GPU Architecture team and help us build the real-time, cost-effective AI computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior GPU Architect! The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in graphics features, graphics performance, parallel programming models or parallel computing performance. You would interact with other world-class architects and researchers to build simulators and infrastructure to design and validate these new features. What you'll be doing: * Design new hardware features for future graphics and parallel processing architectures. * Develop or enhance graphics or parallel processing algorithms and advance the state of parallel computation. * Be knowledgeable about future parallel programming models and their impact to hardware. * Develop software for various hardware simulators, test infrastructures or metrics systems including databases. * Work in a team to document, design, develop tools to analyze and simulate, validate, and verify functional or performance models. * Develop tests, testplans, and testing infrastructure for new graphics or parallel processing architectures * Be hungry to learn and work on simulators, RTL and real silicon. What we need to see: * MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. * 8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience). * Strong programming ability in C, C++, Perl and Python. * Background in computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior GPU Power Architect! The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by creating and maintaining accurate power models, defining new architectures and building new infrastructure that is required to make this successful. In this position, you will be responsible for developing and enhancing various features in the GPU architecture that advance the state of the art in power for graphics and deep learning workloads. You would interact with other world-class architects and researchers to build simulators and infrastructure to design and validate these new features. What you'll be doing: * Work with chip architects to understand architecture concept and high-level system requirements * Identify key areas for power improvements across Architecture/Software/Hardware and develop new features, defining requirements and dependencies across various teams. * Creating power models of key GPU units to evaluate architectural tradeoffs in DL/ML (training/inference) and graphics workloads * Drive improvements to architecture development processes to improve execution capabilities. * Design new hardware power saving features for future graphics and parallel processing architectures. * Be knowledgeable about future parallel programming models and their impact to hardware. * Be hungry to learn and work on simulators, RTL and real silicon. What we need to see: * MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience. * 7+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience). * Programming ability in C++ and Python. * Background in hardware design, computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our GPU Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Deep Learning Inference Performance Architect! NVIDIA is seeking a Senior Performance Architect - a creative engineer who loves to squeeze out every cycle of performance from deep learning software. The Inference Architecture team does groundbreaking hardware-software co-design work that focuses on accelerating AI Inference workloads. In this role, you will write performance optimized low level code on today's GPUs, evaluate and improve state-of-the-art performance techniques in production Large Language Model deployments, and help guide our future GPU architecture decisions. If you are someone who enjoys digging deep into GPU architecture details, are passionate about AI, and know where every cycle goes when you write highly tuned software, this role may be a great fit for you. What you'll be doing: Develop innovative GPU and system architectures to extend the state of the art in AI Inference performance and efficiency Model, analyze and prototype key deep learning algorithms and applications Understand and analyze the interplay of hardware and software architectures on future algorithms and applications Write efficient software for AI Inference, including CUDA kernels, framework level code, and application level code Collaborate across the company to guide the direction of AI, working with software, research and product teams What we need to see: A MS or PhD in a relevant discipline (CS, EE, Math) or equivalent experience, with 5+ years or relevant experience Strong mathematical foundation in machine learning and deep learning Expert programming skills in C, C++, and Python Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: Background with systems-level performance modeling, profiling, and analysis Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results Experience in optimizing AI Inference workloads with CUDA kernel development NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Inference Performance Architecture team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Deep Learning Inference Performance Architect! NVIDIA is seeking a Senior Performance Architect - a creative engineer who loves to squeeze out every cycle of performance from deep learning software. The Inference Architecture team does groundbreaking hardware-software co-design work that focuses on accelerating AI Inference workloads. In this role, you will write performance optimized low level code on today's GPUs, evaluate and improve state-of-the-art performance techniques in production Large Language Model deployments, and help guide our future GPU architecture decisions. If you are someone who enjoys digging deep into GPU architecture details, are passionate about AI, and know where every cycle goes when you write highly tuned software, this role may be a great fit for you. What you'll be doing: Develop innovative GPU and system architectures to extend the state of the art in AI Inference performance and efficiency Model, analyze and prototype key deep learning algorithms and applications Understand and analyze the interplay of hardware and software architectures on future algorithms and applications Write efficient software for AI Inference, including CUDA kernels, framework level code, and application level code Collaborate across the company to guide the direction of AI, working with software, research and product teams What we need to see: A MS or PhD in a relevant discipline (CS, EE, Math) or equivalent experience, with 5+ years or relevant experience Strong mathematical foundation in machine learning and deep learning Expert programming skills in C, C++, and Python Familiarity with GPU computing (CUDA or similar) and HPC (MPI, OpenMP) Strong knowledge and coursework in computer architecture Ways to stand out from the crowd: Background with systems-level performance modeling, profiling, and analysis Experience in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results Experience in optimizing AI Inference workloads with CUDA kernel development NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard working people in the world working for us. If you're creative, autonomous, and love a challenge, consider joining our Inference Performance Architecture team and help us build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. As Solution Architects on the NVIDIA Partner Network team›, we are actively helping NVIDIA AI Factory solutions bring the benefits of large scale AI to customers through our partners. We work closely with customers and partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale. What you'll be doing: Our day-to-day work involves guiding partners in their adoption of end-to-end Agentic AI solutions, using NVIDIA's compute, networking, and software stacks. Don't think this is a high-level slideshow job - we are the voice of experience, using cloud native methodologies, low latency networks, and accelerated compute to help build modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that! What we need to see: BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience). Established track record working with AI and HPC clusters, both on-premises and cloud based. 4 plus years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. Hands-on experience with network, storage, cluster configuration and debugging. Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. Ability to multitask efficiently in a dynamic environment. Ways to stand out from the crowd: Strong channel sales knowledge and partner co-selling experience. Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities. Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions. Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager, Run:ai and NVIDIA NIMs. Willingness and ability to learn quickly and solve advanced problems. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Senior ServiceNow Technical Architect - CSM, ITSM & ITOM- Remote or Hybrid | Cary, NC About SAS We're a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. If you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek and more. About the Job The Senior ServiceNow Technical Architect serves as the technical lead and subject matter expert across the Technology Provider Service Management (CSM & ITSM) and ITOM product areas within SAS's enterprise ServiceNow platform. This role defines and leads the architectural direction for these products, ensuring alignment with Common Service Data Model (CSDM), security standards, and out-of-the-box (OOTB) design principles. You will play a key part in delivering secure, scalable, and supportable solutions that enable SAS Tech Support, Cloud and Information Services CIS, and Managed Cloud Services (MCS) to achieve operational excellence and an improved customer and employee experience through a unified ServiceNow environment. As a Senior ServiceNow Technical Architect, you will: Architecture & Platform Leadership * Serve as the technical authority for CSM, ITSM, and ITOM architectures, ensuring alignment with platform strategy, CSDM, and CIS standards. * Lead the design and implementation of scalable, OOTB-compliant solutions that meet business and operational needs. * Partner with Business Stakeholders, Solution Architects, Domain Architects, and Enterprise Architecture to ensure security, performance, and compliance standards are met. * Design and guide integrations across Azure, Datadog, Tanium, and other enterprise systems. * Maintain architectural documentation and actively participate in the Architecture Review Board (ARB), Configuration Control Board (CCB), and other Governance Boards. Technical Delivery Leadership * Provide technical direction and oversight to developers and admins across ITSM, CSM, and ITOM initiatives - influencing design decisions, ensuring code quality, and promoting OOTB and DevOps best practices. * Collaborate with Business Systems Analysts and Product Owners to plan, prioritize, and sequence development work within Agile sprints. * Conduct design and code reviews to ensure alignment with platform standards, reusability, and maintainability. * Partner with federated development teams and platform operations to drive cohesive design, configuration, and release management. Operational Excellence & Governance * Ensure all configurations and customizations remain compliant with SAS governance policies and ServiceNow best practices. * Use Health Scan results, skipped-item analysis, and remediation plans to continually reduce technical debt. * Support CMDB, service mapping, and event correlation initiatives as part of the ITOM strategy. * Contribute to the Platform + Product + DevOps operating model, driving consistency and technical excellence across the ecosystem. * Embrace curiosity, passion, authenticity and accountability. These are our values and influence everything we do. Required Qualifications * US Citizen required. * Bachelor's degree in Computer Science, Information Systems, or equivalent experience. * 8+ years of ServiceNow platform experience, with at least 3 years in an architectural or senior technical lead capacity. * Deep technical expertise in: * CSM (Case Management, Workforce Optimization, etc.) * ITSM (Incident, Change, Problem, Request, etc.) * ITOM (Discovery, Service Mapping, Event Management, CMDB, Certificate Management, Tag Governance, etc.) * CSDM and CMDB design * Flow Designer, JavaScript/Glide API, IntegrationHub, Service Bridge * MID Server architecture and external integrations * Platform security (ACLs, role design, data segregation) * Strong communication and stakeholder engagement skills, able to influence across technical and business teams. * Equivalent combination of related education, training and experience may be considered in place of the above qualifications. Additional competencies, knowledge and skills * ServiceNow certifications: * Certified System Administrator (CSA) * Certified Implementation Specialist (CSM, ITSM, ITOM) * Certified Application Developer (CAD) * Certified Technical Architect (CTA) - preferred * Experience working with hybrid or offshore teams in a collaborative technical capacity. * Familiarity with ServiceNow DevOps, ATF, and Agile methodologies. * Familiarity with ServiceNow NowAssist and Agentic AI World-class benefits Highlights include... * Comprehensive medical, prescription, dental and vision plans. * Medical plan options include: * PPO with low annual deductible and copays. * HDHP combined with a health savings account with a contribution from SAS (no access to on-site health care center). * Onsite Health Care Center (HQ) that's free to employees and family members enrolled in the PPO plan. There's a pharmacy too! Not local to HQ? The pharmacy will ship prescriptions for no additional charge! * An industry-leading 401k plan. * Tuition Assistance Program and programs and resources to support your development * Generous time away including vacation time, a variety of paid holidays, and our much-loved U.S. Winter Wellness Break between December 25 and January 1. * Volunteer Time Off, parental leave and unlimited paid sick days. * Generous childcare benefits for all full-time employees. You are welcome here. At SAS, it's not about fitting into our culture - it's about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Additional Information To qualify, applicants must be United States citizens to be able to access both Commercial and FedRAMP instances. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to any characteristic protected by law. Read more: Know Your Rights. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process. SAS only sends emails from verified "sas.com" email addresses and never asks for sensitive, personal information or money. If you have any doubts about the authenticity of any type of communication from, or on behalf of SAS, please contact *************************. Let's stay in touch! Join our Talent Community to stay up to date on company news, job updates and more.