Infrastructure engineer jobs in Redmond, WA - 864 jobs

Job Title: Network Infrastructure Specialist (Construction & Operations) Regions: North Seattle/Lynnwood Department: Construction & Field Operations Reports To: Director, OSP Construction Job Type: Full-Time Salary: $80,000 - 100,000 DOE Position Summary: Intermountain Infrastructure Group (IIG) seeks a versatile and committed Network Infrastructure Specialist to support the construction, commissioning, and long-term maintenance of our fiber optic infrastructure. This dynamic role begins with hands-on field management during the construction phase and transitions into an operations and maintenance technician role upon project completion. This is a unique opportunity to engage across the full lifecycle of critical infrastructure deployment from design, permitting, and contractor oversight to ongoing technical support and emergency response. Phase 1: Construction Management (Initial 12-24 Months) Responsibilities: Oversee field construction of fiber optic networks, ensure work is on schedule, meets specifications, and is documented accurately. Act as the primary liaison with construction contractors; conduct regular job site inspections. Review and track permits, contractor deliverables, and inspection reports. Coordinate with project manager, construction contractors, and permitting consultants to resolve field issues and authorize changes. Maintain accurate field documentation and issue regular updates to internal stakeholders. Phase 2: Field Operations & Maintenance (Permanent Role) Responsibilities: Support ongoing maintenance and emergency repairs for communications infrastructure, including fiber optic cables and network equipment. Respond to outages, conduct site inspections, troubleshoot network issues, and coordinate timely resolutions. Implement and monitor preventive maintenance plans and safety procedures. Generate technical reports, analyze system data, and contribute to operational improvements. Remain available for on-call response as needed, including after-hours support. Qualifications: Applicant must already live in or be willing to relocate to the locale the job posting is associated with. • Education: (Preferred) - Associate's or Bachelor's degree in Construction Management, Engineering, or a related field; relevant certifications or equivalent civil construction experience will be considered. 5+ years' Experience in a field coordination, construction management, or construction role, preferably within the telecommunications or utility industry. Salary: Salary is dependent on the education, skills, and experience of the candidate. This role pays between $80,000 - $100,000 per year, DOE. Benefits: Comprehensive medical, dental, and vision. 401k Retirement Plan. Paid PTO and Holidays. Skills: Excellent written and verbal communication skills. Knowledge of fiber optic network construction, operation, troubleshooting, and maintenance practices. Strong interpersonal skills, with the ability to manage relationships with diverse stakeholders. Ability to read and interpret engineering drawings and specifications. Strong problem-solving skills and attention to detail. Knowledge of local permitting authorities, regulations and processes. Proficiency in using construction tracking software and tools. Work Environment: This position requires frequent field visits, which may involve travel, working in various weather conditions, and on construction sites. Flexibility in working hours may be required to accommodate project schedules and deadlines. *Equal Opportunity Statement: Intermountain Infrastructure Group, LLC complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ****************************** *Offers of employment will be made conditionally pending successful completion of background and MVR check.

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to develop and deploy cutting-edge AI models. This role emphasizes building robust ML infrastructure and automating pipelines for data and model management. Ideal candidates will have over four years of experience in machine learning and proficiency in programming languages like Java or Python. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

A leading global hedge fund in Seattle is seeking a Quantitative Developer to build critical trading infrastructure. You will collaborate with quantitative researchers and senior portfolio managers to optimize systems for trading strategies across global futures and equities. Candidates should have strong skills in React/Typescript and Python, paired with a Master's or PhD in a relevant field. This position offers significant career growth and impact in a dynamic environment. #J-18808-Ljbffr

A leading advisory firm in Seattle is seeking a motivated Lead Consultant for Advisory Services to support infrastructure projects. This role involves managing project teams, driving process improvements, and building client relationships while contributing to significant initiatives in transit, rail, and power sectors. The ideal candidate will possess a Bachelor's degree and 7-10 years relevant experience. A strong communicator with interpersonal skills is essential for success in this dynamic environment. Competitive salary range offered, with a comprehensive benefits package. #J-18808-Ljbffr

A leading aerospace company in Seattle is looking for a performance integration engineer to support lunar mission projects. This role involves defining and tracking pointing requirements, integrating analysis, and collaborating with various teams. The ideal candidate has over 6 years in flight dynamics, proficiency in MATLAB/Python, and experience with performance verification. This position offers competitive benefits and requires on-site work alongside a collaborative team. #J-18808-Ljbffr

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

A leading search AI company is looking for a Consulting Engineer - Search to help customers realize the value of their solutions. You will collaborate with various teams to deliver scalable architectures that enhance application performance and user experiences. The ideal candidate has over 5 years of experience in Enterprise Search technologies and excellent client interaction skills. This role is based in Seattle, WA, and offers flexible working arrangements. #J-18808-Ljbffr

About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a solutions engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. What you'll do Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Deliver product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials 5+ years of experience as a sales engineer or in solutions consulting Ability to connect a customer's specific problems to Braintrust's solutions Proficiency in Typescript and Python Has written prompts / tinkered with GPT models and apps Benefits include Medical, dental, and vision insurance Daily lunch, snacks, and beverages Flexible time off < Competitive salary and equity AI Stipend Equal opportunity Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

Travel: Occasional in-state travel; 1-2 weeks out-of-state per year Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success. Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations. Role Summary Overland AI is looking for an experienced Infrastructure Engineer to help design, build, and operate the systems that power our AI model training, experiment management, and robotic deployments. This role spans on-premise environments, cloud infrastructure, networking, and automation. You'll work hands-on with servers, storage, firewalls, wireless equipment, and high-performance compute resources-while also developing scalable tooling that improves reliability, observability, and developer velocity. The ideal candidate has 5+ years of experience in infrastructure engineering, DevOps, SRE, or systems engineering, with deep knowledge of on-prem environments, AWS deployments at scale, and modern infrastructure-as-code and automation practices. What You'll Do Build, operate, and evolve on-premise and cloud infrastructure supporting AI/ML development and robotics programs Deploy and manage AWS environments including IAM, EC2, VPCs, and S3 Install, configure, and troubleshoot physical servers, networking equipment, and storage systems Implement and maintain infrastructure-as-code (Terraform, Ansible, Puppet, Chef, etc.) Support on-prem Kubernetes clusters (clusteradm, Kops) and GitOps workflows (ArgoCD, Flux, Spinnaker) Develop CI/CD pipelines using GitLab or GitHub Actions Build custom automation and internal infrastructure tooling Manage observability stacks (Prometheus/Grafana, ELK, Datadog, etc.) Partner closely with engineering teams to ensure reliability, security, and efficient scaling Document systems, processes, and runbooks to support local and remote teams Required Qualifications 5+ years in infrastructure engineering, DevOps, SRE, or systems engineering Experience with AWS orchestration and deployments at scale Experience with on-prem hardware environments (VMWare, Proxmox, or equivalent) Hands-on experience building and troubleshooting physical servers and networks Strong Linux administration skills Deep understanding of networking: firewalls, L3 switches, routing, VPNs, WAN/wireless systems Proficiency with infrastructure-as-code tooling (Terraform, Ansible, Puppet, Chef, etc.) Experience with Kubernetes and GitOps systems CI/CD experience with GitLab, GitHub Actions, or similar platforms Ability to program in Python, Go, Rust, or a similar language (in addition to shell) Experience with observability and monitoring stacks Excellent documentation, communication, and collaboration skills Nice to Have Familiarity with experiment tracking, ML infrastructure, or data visualization tooling Experience integrating hardware or embedded systems Experience deploying or supporting wireless/WAN infrastructure in field, test, or event environments Familiarity with ML/AI infrastructure, high-performance compute clusters, or robotics-focused environments Other Requirements Ability to travel in-state, including occasional long days during deployments or testing Ability to travel out-of-state for ~1-2 weeks per year Ability to work onsite in our Seattle office at least 3 days per week Ability to obtain and maintain a DoD Security Clearance Benefits Competitive salary: $130K - $225K annually Equity compensation Best-in-class healthcare, dental, and vision plans Unlimited PTO 401(k) with company match Parental leave

Our client is seeking a highly skilled engineer to join the cloud and data center infrastructure team with at least 10 years of systems development, deployment, and related operations experience . The candidate must have experience with distributed systems, open source development, agile development methods, CI/CD, and devops. Qualifications Responsibilities: · System integration and distributed system debugging · Research and selection of distributed systems components · CI/CID pipeline development and integration · Test automation development work (unit, functional, integration, e2e) · Contribution and participation in open source projects · Distributed systems design/code/test/deploy · Scalability and reliability engineering, testing, and analysis · Reports and presentations Mandatory Skills: · Must have deep experience in one or more of the following subject areas: o Virtualization and virtualization management (Openstack, etc) o Cloud storage systems (block and object) o Networking and SDN o Containerization (Docker, Kubernetes, etc) o Security and AAA in a private cloud o Data pipelines and analytics, log collection and analysis · Must have extensive experience and excellent expertise in Linux-based high-performance, highly-available systems development. · Required Degree: Bachelors or higher in Computer Science, Engineering, or related Discipline. · Must have excellent written and communication skills and capable of writing and delivering both presentations and technical papers. · Practical experience contributing to an open source project. · Practical design, development and deployment experience with evolving existing designs towards large scale deployments. · Deep working knowledge of commonly used tools and frameworks utilized by the open source community. · B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is desired. · Practical experience with the Go programming language is desired. · Practical experience building systems on a public cloud infrastructure (AWS, GCE, etc.) is desired. · Practical experience building public cloud infrastructure is highly desired. Additional Information All your information will be kept confidential according to EEO guidelines Salary Range: $ 160,000 - $ 220,000 Type of Employment: Exempt Required Degree: Bachelors or higher in Computer Science, Engineering, or related Discipline.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Meet the Team Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! Impact: Architect and operationalize AI infrastructure as a core component of Cisco Data Fabric, enabling engineering teams to integrate AI capabilities across the world's largest, most diverse data sets. Design MLOps platforms that solve complex lifecycle challenges-managing embedding model migrations, version compatibility, and continuous model updates-while ensuring operational excellence through monitoring, governance, and serving at petabyte scale. Identify and drive new opportunities for leveraging AI across the stack, establishing consistent architectural patterns for agent prompts, tool integration, and model orchestration. Build data pipelines and operational frameworks that enable hundreds of engineers to confidently deploy both LLMs and traditional ML models into production. Success is measured by customer adoption and usage of AI-powered features, alongside operational metrics-model performance, inference latency, and deployment velocity-that directly impact customer value. Minimum Qualifications: Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience Designed and deployed AI/ML infrastructure and features in production cloud environments Experience with major AI services including OpenAI, Anthropic, HuggingFace, AWS Bedrock, Azure OpenAI Service, or similar platforms Production experience with AWS, Azure, or GCP cloud platform Led technical decisions and architectural direction across engineering organizations of 50+ engineers Preferred Qualifications: Experience with LLM-specific infrastructure including agent frameworks, prompt management, and tool integration Model serving at scale with experience in inference optimization and performance monitoring Designed and deployed AI/ML infrastructure for on-premises environments Experience with major ML frameworks (TensorFlow, PyTorch, etc.) and model formats Proven track record mentoring and growing engineers, with strong collaboration skills Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

As a Software Engineer on the ML Infrastructure team, you will design and build the next generation of foundational systems that power all ML Infrastructure compute at Scale - from model training and evaluation to large-scale inference and experimentation. Our platform is responsible for orchestrating workloads across heterogeneous compute environments (GPU, CPU, on-prem, and cloud), optimizing for reliability, cost efficiency, and developer velocity. The ideal candidate has a strong background in distributed systems, scheduling, and platform architecture, and is excited by the challenge of building internal infrastructure used across all ML teams. You will: Design and maintain fault-tolerant, cost-efficient systems that manage compute allocation, scheduling, and autoscaling across clusters and clouds. Build common abstractions and APIs that unify job submission, telemetry, and observability across serving and training workloads. Develop systems for usage metering, cost attribution, and quota management, enabling transparency and control over compute budgets. Improve reliability and efficiency of large-scale GPU workloads through better scheduling, bin-packing, preemption, and resource sharing. Partner with ML engineers and API teams to identify bottlenecks and define long-term architectural standards. Lead projects end-to-end - from requirements gathering and design to rollout and monitoring - in a cross-functional environment. Ideally you'd have: 4+ years of experience building large-scale backend or distributed systems. Strong programming skills in Python, Go, or Rust, and familiarity with modern cloud-native architecture. Experience with containers and orchestration tools (Kubernetes, Docker) and Infrastructure as Code (Terraform). Familiarity with schedulers or workload management systems (e.g., Kubernetes controllers, Slurm, Ray, internal job queues). Understanding of observability and reliability practices (metrics, tracing, alerting, SLOs). A track record of improving system efficiency, reliability, or developer velocity in production environments. Nice to haves: Experience with multi-tenant compute platforms or internal PaaS. Knowledge of GPU scheduling, cost modeling, or hybrid cloud orchestration. Familiarity with LLM or ML training workloads, though deep ML expertise is not required. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

The cities of tomorrow are being designed today. At Buro Happold, our Civil Team is at the forefront of this revolution. We're creating infrastructure that adapts to changing needs, sustains populations, and thrives in placemaking. Ready to take a leading role in this vision? Join us as an Associate Civil Engineer and play a key part in shaping a sustainable future. Who We AreBuro Happold is a global leader in sustainable and resilient infrastructure design. We work at the cutting edge of engineering, where your creativity and expertise are crucial to developing groundbreaking solutions. Our portfolio includes innovative works across the US, from the High Line in NYC to the Verdugo Wash Visioning in Glendale, CA. As a leader in sustainable and resilient infrastructure, we offer unparalleled opportunities for professional growth, diverse and inclusive practices, and the chance to contribute to a more equitable world. Here at Buro Happold, expect the exceptional. From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it'll be anything but ordinary. Impactful Projects: Lead innovative designs that transform urban landscapes and set new standards in sustainability and resilience. Career Advancement: Clear pathways to leadership roles within a growing team, supported by mentorship programs and hands-on experience in client relations and project management. Collaborative Environment: Work alongside top architects, urban planners, and sustainability experts to create holistic solutions. Global Reach: Contribute to international projects and expand your professional network across our global offices. Continuous Learning: Stay at the forefront of the industry with opportunities to attend conferences, publish thought pieces, and engage in cutting-edge research. Your next role As an Associate Civil Engineer and key member of our North American Civil Infrastructure Team, you'll lead the design and development of resilient and sustainable civil engineering solutions. Your role will involve:Technical Contributions: Provide technical input and innovative solutions for challenging engineering problems, particularly in sustainable and resilient design. Project Management: Manage complex and multi-disciplinary projects from conception to completion, ensuring technical quality and adherence to budgets and timelines. Client Relations: Lead client interactions, helping to understand their needs and translate them into effective engineering solutions. Quality Assurance: Contribute to maintaining high standards of work across projects. Interdisciplinary Collaboration: Lead collaboration efforts with experts from various disciplines, including geotechnical engineering, transportation planning, environmental engineering, economics, sustainability, mobility, and energy to develop holistic solutions. Innovation: Contribute to the adoption of new technologies and methodologies in civil engineering. Sustainability Focus: Support sustainable and green infrastructure practices, ensuring their integration into projects. Professional Development: Provide guidance and mentorship to junior engineers, fostering their technical and professional development while continuing to advance your own expertise. Advisory Services: Provide expert consultation to clients, government agencies, and partner organizations on complex infrastructure challenges, sustainable design strategies, and resilience planning. Represent Buro Happold in high-level discussions and decision-making processes that shape the future of urban environments. Strategic Team Planning: Contribute to the development of long-term strategies for the Civil Infrastructure Team, identifying emerging trends and opportunities for innovation Your skills and experience Educational Background: Bachelor's degree in civil engineering. Professional Experience: 8+ years in progressively challenging civil engineering projects. Licensing: PE license required. Technical Proficiency: Proficient in Civil3D, GIS, and AutoCAD. Familiarity with emerging technologies in civil engineering. Core Knowledge: Knowledge of hydrologic and hydraulic analysis, utility design, grading, earthwork, sustainable design practices, and green infrastructure. Project Management: Experience in supporting project delivery, including assisting with crafting scopes of work, schedules, budgets, and resource allocation. Communication: Strong verbal and written communication skills, with the ability to present technical information clearly. Teamwork: Ability to work effectively in multidisciplinary teams and contribute to a collaborative environment. Industry Engagement: Interest in participating in professional organizations and contributing to the field of sustainable infrastructure. Project Portfolio: Demonstrated track record of successfully delivered complex civil engineering projects. Adaptive Leadership: Readiness to push boundaries, rally teams around novel challenges, and engineer bespoke solutions in unfamiliar territories. What we offer Salary range of $110,000 - 145,000. This will be determined based on factors such as geographic location, skills, education, and/or experience Generous benefits package Annual discretionary bonus Generous PTO (4 weeks) in addition to 10 paid holidays 401k with company match Hybrid working & summer hours Reimbursement for certain professional licenses and associated renewals and exam fees Connection to global network of experts on the forefront of industry initiatives Access to wide ranging learning and development opportunities Be a part of supporting our diverse company culture through open engagement with our Young Employees Forum, Diversity and Inclusion Forum, Buro Happold Women's Network, and/or our Black at Buro Happold Employee Resource Groups A place for everyone Buro Happold values an individual's flexible approaches to working patterns as an important part of how you work and achieve balance. We welcome applications from those who are seeking flexibility in their careers. Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds, and experiences that shape us. Appreciating each other's differences is key, we want employees to feel they don't have to mask elements of their identity to thrive. We are working to change the lack of representation of marginalised groups in the built environment. We are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing differences allows us to develop the most innovative and elegant solutions. Please let us know if there are any adjustments we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold. com so we can work with you to support you throughout your application. #LI-BT1#LI-Hybrid

Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments. As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy. Responsibilities Design, build, and operate distributed backend systems that power secure sandboxed execution environments Scale infrastructure to meet growing research and product demands while maintaining reliability and performance Implement and maintain serverless architectures and container orchestration systems Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions Develop monitoring, alerting, and observability systems to ensure operational excellence Participate in on-call rotations and incident response to maintain system reliability Contribute to infrastructure automation and tooling that improves developer productivity Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees You may be a good fit if you Have 5+ years of experience building and operating backend infrastructure at scale Have deep expertise in distributed systems design and implementation Have strong operational experience, including debugging complex production issues Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable) Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications Are comfortable working with infrastructure as code and modern DevOps practices Have strong programming skills in languages such as Python, Go, or Rust Are results-oriented with a bias towards flexibility and impact Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have experience with Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda) Designing and implementing secure multi-tenant systems High-performance computing environments or ML infrastructure Linux systems internals, including namespaces, cgroups, and seccomp Network security and isolation techniques Building systems that support research workflows and rapid iteration The annual compensation range for this role is below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits. Annual Salary:$300,000-$405,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you ******************* email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Here at Ten4, there's a core focus on Creative Services and Gaming. By only recruiting for Digital Professionals we can give the best attention and satisfaction to both the clients and the candidates. Being a niche company provides the ability to source top notch candidates and to make the best connections possible. Ten4 works with some of the best ad agencies, start-ups, production studios, and video game shops on the West Coast. Job Description 7+ years of software development experience at a major Tech company, gaming studio, video streaming service, or VR/AR project/company Engineer with experience in C/C++ and C# Experience with the Unreal 4 engine is a must! Unity is a major plus Passion for interactive experiences, games, and VR/AR Experience in VR/AR is a major plus Computer Science Degree and an MS Degree preferred Qualifications Developers and Engineers who want to solve challenging Virtual Reality problems Inventive and innovative and excited about staying ahead of the technology trends Self motivated and interested in working in a start-up environment Team player who knows when to take charge and when to ask for help Interested in maximizing developmental output by removing technical roadblocks Additional Information Paying well for a start-up and equity offered for hired individuals! Will provide a small relocation for people in North America with current work authorization and/or able to get a TN Visa.

· maintain the infrastructure and platform for CA Service Virtualization · implement custom protocol, patch, and product-related enhancements. · technical support to various DevOps teams for Service Virtualization technologies, including troubleshooting, training, user/license administration, and general expertise. Please respond with your word resume and requested details: Full Name : Work Authorization: Contact Number : Email ID : Skype ID: Current location: Willing to relocate : Rate/hr : Additional Information All your information will be kept confidential according to EEO guidelines.

Role: Service Virtualization Engineer Duration: 6+ Months BGV will be done for the selected candidates. Job Description: · maintain the infrastructure and platform for CA Service Virtualization · implement custom protocol, patch, and product-related enhancements. · technical support to various DevOps teams for Service Virtualization technologies, including troubleshooting, training, user/license administration, and general expertise. Please respond with your word resume and requested details: Full Name : Work Authorization: Contact Number : Email ID : Skype ID: Current location: Willing to relocate : Rate/hr : Additional Information All your information will be kept confidential according to EEO guidelines.

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr