Engineer 6 Jobs

Leidos is looking for our next TS/SCI-cleared DevOps Platform Engineer/Linux Systems Administrator to join a high-energy team deploying and maintaining common application-runtime capabilities in support of the DIA-NDOC (National Digital Exploitation OSINT Center) DOMEX Technology Platform (DTP). This role is part of a 10-year program supporting the DOMEX Data Discovery Platform (D3P) Modernization effort, where you’ll contribute to mission-critical capabilities alongside a collaborative, innovative, and growth-oriented team. While the majority of work is performed on-site at our customer location in Bethesda, MD, we offer a flexible schedule and occasional opportunities for remote work. As a Platform Engineer , you’ll operate and maintain the organization’s Kubernetes-based application platform and shared runtime services, including Elastic and Redis by performing platform configuration, monitoring, troubleshooting, security hardening, capacity management, version upgrades, and automation to provide reliable, secure, and scalable platform services. You’ll also support the implementation of automation, continuous integration and delivery, and DevOps best practices across cross-functional engineer teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integration teams. You will work with a multidisciplinary group of developers, integrators, and system administrators to: Deploy, troubleshoot, monitor, and maintain the platform for a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka . Administer and maintain Linux-based applications, including installation, configuration, patching, upgrades, performance monitoring, troubleshooting, and system hardening. Integrate with the underlying physical and virtual infrastructure, ensuring system availability, r

Build the systems that deliver Simulation Technology knowledge to developers, partners, internal teams, and the AI agents that increasingly sit between them and our documentation. Our KnowledgeOps team sets the information architecture and quality standards for Omniverse, Isaac Sim, and OpenUSD documentation. You'll build the automation, pipelines, and AI-ready infrastructure that apply those standards at scale, and work with documentation leads to refine the architecture based on what you learn. You're a writer who builds: as comfortable in Git, CI, or Python as in a style guide, and fluent with LLMs in daily work. We build systems where the right way is easier than the wrong way. For you, that means turning documentation, standards, and tribal knowledge into tooling, templates, and self-service paths, so fewer people have to ask "how do I…?" What you'll be doing: Collaborate with documentation leads on knowledge architecture, sharing implementation feedback (what works, breaks, and scales) to refine content models, information architecture, and AI-readiness patterns Build and run docs-as-code pipelines: Git authoring, CI/CD builds, linting, link and code-sample validation, and publishing Make knowledge AI-ready: structure and package content for RAG, internal assistants, and agentic workflows, including llms.txt, MCP-accessible sources, agent skills and context kits, and evaluation sets for answer accuracy Automate the content lifecycle with LLMs and scripting, from drafting and updating to auditing, with checks for freshness, code accuracy, and terminology drift, and human review where judgment matters Encode standards (user stories, release readiness, onboarding, security guidance) into templates, validators, and guided workflows rather than static documents Capture tribal knowledge from engineering, product, and operations, and turn it into playbooks, decisi

We are hiring a Senior AI Engineer to build and operate production AI systems and infrastructure. In this role, you will work on AI agents, MCP servers, agent evaluation, and Temporal-based workflow frameworks. This is a hands-on engineering role for someone who can move between backend systems, AI application development, deployment, and production support. You will help build reliable services and frameworks that make AI agents usable, measurable, and dependable in production. What you’ll be doing: Build and deploy AI agents that use tools, call services, manage context, and execute multi-step tasks. Develop and maintain MCP servers and tool integrations used by internal AI systems. Build workflow infrastructure using Temporal or similar orchestration frameworks. Design and implement agent evaluation flows, test suites, quality metrics, and feedback loops. Design backend services, APIs, persistence layers, and platform components for AI applications. Work with SQL and NoSQL databases, queues, distributed systems, and cloud-native infrastructure. Build CI/CD pipelines, Docker images, Kubernetes deployments, monitoring, and operational tooling. Debug production issues across services, workflows, agents, tools, models, and infrastructure. Collaborate with engineering, product, infrastructure, and data science teams to turn requirements into reliable systems. What we need to see: 5+ years of experience and a practical understanding of how AI agents are built, including tool use, state, context, and multi-step execution. Bachelors degree or equivalent experience. Experience with at least one open-source agent or LLM application framework, such as LangChain/LangGraph. Strong software engineering background, especially in backend development. Experience with distributed systems, workflow orchestration, and prod

Job Details: Job Description: Are you passionate about computer graphics? Working with leading engineers on Intel's latest GPU architecture? Now is the time to make your education count and work at Intel. As a PEY student, you can contribute to Intel's technology innovation. At Intel, we have a dynamic work environment with a team of experts and unique opportunities for your career development. You can enjoy your work at Intel with managers and colleagues who are eager to mentor you and help you to grow. The Thermal Mechanical group is part of the Platform Design Engineering team and is responsible for thermal, mechanical, and acoustic design & validation of Intel's AI & discrete graphics cards. The team is an essential part of delivering Intel's 3D graphics, media, display GPU, and AI inference technology. We are looking for a highly motivated, passionate individual who would contribute to the design and validation of our next generation of discrete graphics hardware and work with cutting edge design technologies. What You’ll Do Depending on project and team needs, you may have the key responsibilities will include but not limited to: Mechanical, thermal, and acoustic testing of graphics cards. Thermal management firmware validation using Python. Building computer systems and server-grade test setups. Developing scripts to automate test procedures and test reports. Preparing test reports. Mid to high volume dat

Job Title Senior/Advanced Mechanical Engineer Job Description In this role, you have the opportunity to Play a critical role in the development of Medical System. The right candidate will have a unique opportunity to create innovative designs. Work with global experts at Best Netherland and Suzhou China on MRI product development for multi platforms. undefined Drive the development activities on MRI major components such as MRI RF receive coils and Patient table. Provide innovative solutions for better user experience and workflow. You are responsible for Lead the end-to-end mechanical design of MRI RF receive coils and Patient Table including concept design, industrial design solution evaluation, design transfer and post-market maintenance. Lead technical feasibility assessments and design discussions with cross-functional team members during the concept stage and provide technical design solutions. Own the detailed design delivery for mechanical components, design specifications, BOM, DFMEA, design review, verification & validation, etc. during PDLM execution. Lead trouble shooting and root cause analysis on issues from customer or production line, as well as design verification and product validation, ensure deliverables have no risk in quality, safety and reliability. Partner with technical leadership to ensure that the technical deliverables are consistent with the goals of programs, projects, or initiatives. You are a part of A progressive and energetic team that contributes directly to the growth of the business. You have a direct reporting line to the Director, Patient Environment Team. To succeed in this role, you should have the following skills and experience Bachelor’s degree or higher in Mechanical Engineering or rela

Job Requisition ID # 26WD100002 Join Autodesk in Oslo as a Graduate Software Engineer in August 2027 Position Overview At Autodesk Oslo, we develop next-generation, AI-powered architecture design tools. Our teams build everything from advanced 3D web drawing to real-time analytics powering multiple Autodesk products. You'll help shape the Forma Industry Cloud for the Architecture, Engineering, and Construction (AEC) industry. About us We're on a mission to help design better cities. With 90% of future population growth expected in cities and construction responsible for 40% of global CO₂ emissions, the AEC industry must evolve. We're building a new generation of cloud-based software that helps architects, urban planners, and real estate developers design sites and buildings in a new way. Our Forma Design applications focus on outcome-based design, helping users weigh living quality (sun, daylight potential, noise, etc.), environmental impact (embodied and operational carbon), and profitability so they can find smarter, more sustainable solutions for their projects. How we work We're a fundamentally agile organization, built on empowered teams that have the freedom to innovate at speed while staying aligned. We believe in servant leadership and team accountability, so teams are trusted to find the best way to develop their solutions, with a bottom-up approach to decision-making. Engineers, product managers, and designers work side by side, collaborating across functions and time zones. We're an agentic-first organization, so working alongside AI

We are looking for a Sr. Engineer to design, build, and scale the infrastructure powering NVIDIA’s AI agent ecosystem. You will work at the intersection of distributed systems, developer platforms, and agentic AI — building the foundational services that enable teams across the company to develop, deploy, orchestrate, and operate autonomous AI agents at production scale. What you will be doing: Build and develop platform services that manage the full agent lifecycle from registration through deployment, execution, and teardown Architect multi-tenant Kubernetes execution environments with pod lifecycle management, per-tenant namespace isolation, persistent storage, admission policy enforcement, and identity propagation Develop and maintain automated CI/CD pipelines using GitLab CI and ArgoCD, including reusable pipeline templates and deployment blueprints that standardize how agents are built across teams Build framework-agnostic infrastructure supporting multiple agent SDKs and harnesses — lifecycle hooks, skills configuration, memory services, and OTEL instrumentation — so teams can onboard new agent frameworks without platform changes Build and operate Kafka-based message pipelines and real-time event streaming using Redis PubSub and SSE Develop data ingestion pipelines, access interfaces, and storage layers that power AI agent knowledge and context Implement session management for state persistence, conversation history, and agent recovery across sessions Develop multi-layer auth using OAuth 2.0, JWT validation, token exchange, and gateway integration, and manage secrets lifecycle with Vault (provisioning, rotation, container injection) Partner with security teams on compliance, access controls, and approval workflows for agent operations What we need to see: Bachelor's or Master's degree in Computer Science, Engineering, or

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is searching for a creative, highly motivated and independent engineer with expertise in system software with security background to join the SOC System Software organization. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting SOC based product lines ranging from autonomous vehicles, robotics, consumer graphics, and edge AI. What You’ll Be Doing: Lead all HDCP (High-bandwidth Digital Content Protection) activities across SoC-based projects, leading the feature roadmap, protocol implementation, compliance certification, and delivery across chips, platforms, and products. Develop and maintain secure-engine firmware on a RISC-V based secure processor. Deliver end to end HDCP solution across multiple software stacks spanning Linux, Android for automotive, and consumer platforms. Drive firmware production signing readiness, rollback-prevention strategies, and key-provisioning workflows. Serve as the security primary contact for the team, leading all aspects of threat modeling, static analysis, vulnerability tracking and remediation, and security compliance across all projects. Collaborate with multi-functional teams spanning HW design, boo

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA BioNeMo is building the computational foundation for the next generation of biological discovery. We are looking for a Senior Software Engineer to join our MD Simulation Engineering team, whose mission is to enable biological simulation engines at scale. This team builds the GPU-native simulation software that powers molecular dynamics at scale. We work at the intersection of GPU computing and computational biology — delivering high-performance math primitives that simulation software depends on to fully exploit NVIDIA hardware across GPU generations. The work spans kernel engineering, software architecture, and direct collaboration with the MD simulation ecosystem. If you want to define how scientific simulation is accelerated on modern hardware and see your work in the hands of researchers worldwide, this is the role. What You Will Be Doing: Build, implement, and optimize CUDA kernels for core MD simulation primitives Be responsible for the end-to-end delivery of GPU-accelerated simulation math to external partners and the broader MD ecosystem Integrate simulation primitives into major MD engines Drive CI/CD infrastructure for multi-SKU kernel builds, automated performance re

We are seeking software engineers to work on next-generation graphics and computing products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, detailed knowledge of graphics concepts and algorithms, a proven foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors. Join us! What you'll be doing: Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization. You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and OpenGL extensions. This job will require an understanding of our hardware and software architectures. What we need to see: BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science or equivalent experience Strong C/C++ or Python programming skills Familiarity with computer architecture, and ability to work close to the hardware 5+ years of relevant experience Background with PCIe, NVLink or server product technologies like InfiniBand, Ethernet is a plus Previous experience of working on a large system software code

As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities. What you will be doing: Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies. Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities. Extend our platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation. Address real-world compute, latency, and bandwidth constraints on physical hardware. Collaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems. What we need to see: Master’s degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience). 8+ years of relevant industry experience working on robotics software. Hands-on experience integrating, deploying, and testing software on physical robots, and confidence working directly with hardware when needed. Experience deploying and evaluating learned policies to control physical robots. Broad working knowledge of robotics software, hardware, AI, an

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. We are now looking for a motivated Senior DTCO Engineer, CPU Physical Design to join our dynamic and growing team. As a Senior DTCO Engineer, you will evaluate advanced semiconductor foundry nodes to optimize next-generation CPU microarchitecture. You will coordinate between foundry partners, IP development, and hardware design teams to explore target technology nodes during early development phases. What you'll be doing: Evaluate advanced process technologies and help shape technology choices for next-generation CPUs. Run synthesis, place-and-route, and static timing analysis to assess how process features affect power,

Join NVIDIA, a company with over 25 years of experience advancing visual technology, personal gaming platforms, and high-performance computing! We have pushed innovation through our innovative technology and talented team. As we expand into AI's vast possibilities, we need a Senior Security Engineer, Architecture Patterns to build the future of computing. In this role, you will be involved in the latest AI developments, uphold security standards, and contribute to powerful projects alongside top talent in Santa Clara, CA. Join us! What you'll be doing: Develop shift-left solutions that embed security standards directly into AI-generated code, ensuring constraints, scaffolds, rules, and guardrails are applied during the coding process rather than post-shipment. Convert written security standards into machine-enforceable formats, enabling programming assistants and pipelines to apply them seamlessly without manual interpretation. Engineer verification workflows that confirm generated code meets claimed standards, providing evidence for downstream release gating and policy enforcement. Maintain and evolve evaluation harnesses, reference repositories, known-bad cases, and encouraged findings to ensure constraint-steered agents produce conformant code amid changing models, patterns, and tooling. Convert approved architecture patterns into secure, runnable reference implementations, such as templates, Helm charts, container images, and worked examples, ensuring their reliability as platforms evolve. Elevate AI solutions from prototypes to enterprise-grade products, focusing on versioning, observability, latency and cost budgets, access control, audit, graceful failure, and a detailed support and deprecation model. Set the enterprise-grade architecture standards for AI tooling in a security context, determining qualification criteria and monitoring adoption and outcomes to ensure effic

1. General Information: Job Title: Equipment/Process Engineer Department: Technical Operations (Bio-Vaccine Suites) Position Reports to: Plant Engineering Lead Type: Permanent Secondment 2. Job Purpose Provide process engineering/technical support to support the ongoing requirements of the Bio-Vaccines Suites. The process engineer is responsible for providing support to the operating unit ensuring that the equipment is robust, reliable and all issues are resolved to support the effective and efficient manufacture and disposition of product . 3. Job Responsibilities: Equipment and Process Support: Provide routine equipment technical support and troubleshooting for resolution of manufacturing issues. Lead Method 1's to determine root cause and implement corrective actions. Lead investigations for equipment and process related issues, providing pro

We are now looking for a Senior ASIC Design Engineer to join our System ASIC team! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world's leading GPU and SoC's. With the System-ASIC team, you will contribute to designing multiple products that will be used in a variety of applications from consumer graphics to self-driving cars and the growing field of artificial intelligence. System-ASIC team works closely with System Architecture team on product definitions, implements new innovative flows to improve our chip yield and to address multiple sectors, defines Reset and Boot Architecture and implements them in complex GPU and Tegra chips. The team is also handling the architecture, design, and synthesis of multiple System-level modules. What you’ll be doing: Be an integral part of the System ASIC Design team to help develop and improve our RTL and SOC designs Collaborate with architects, ASIC designers, and verification engineers to design sophisticated system-level modules such as Floorsweep, In-silicon measurement, Reset and Boot controllers. You will be responsible for the RTL design, logic synthesis, and timing analysis of several modules. Integrate modules into the overall SOC design and work closely with other teams in the silicon bring-up process and ensure successful SOC le