Senior Swe Jobs

Job Requisition ID # 26WD101507 L'affichage de poste en français suivra / The French job posting follows. 26WD101507, Senior Program Manager, Operational Workforce Planning Position Overview As a Senior Program Manager focused on the Operational Workforce Planning Capability, you will play a critical role in enabling Autodesk to effectively operationalize its workforce plans and ensure the right people are in the right roles at the right time. You will be responsible for driving process excellence, coordinating cross-functional execution, and ensuring consistent, data-driven workforce planning practices across the organization. This role emphasizes translating strategy into action, optimizing mid-term workforce capacity, managing headcount planning cycles, and ensuring alignment between business demand and talent supply. You will collaborate closely with cross-functional partners including Workday Adaptive Planning Product Management, Finance, People Insights & Solution Design (PISD), Talent Acquisition, Total Rewards, and People Business Partners to deliver scalable operational planning solutions. Responsibilities Establish and manage operational Workforce Planning frameworks, guidelines, and playbooks to enable efficient workforce execution aligned with Autodesk’s business objectives Lead the annual planning cycles, ensuring coordination across business units, Finance, and HR teams Own program governance for operational workforce planning processes, ensuring consistency, transparency, and accountability across the

Job Requisition ID # 26WD101684 Position Overview The Autodesk Enterprise Customer Success organization is looking for an accomplished, and enthusiastic individual to join our Consulting Services team as a Senior Implementation Consultant for construction in Japan. As a Senior Implementation Consultant, you will use your construction industry and technical knowledge to help our customers put design, engineering, and construction solutions into real-world. While we support hybrid work, you will need to travel to our customer site and required to come to office when required. You will report to a consulting manager and work directly with our customers to offer consulting services including process improvement and implementation strategies, software training, configuration, mentoring and technical guidance. Providing these services will ensure customers are maximizing the value from their investment in Autodesk technologies and ensuring the success of transformational changes to their business. You will also track the value of the solutions we deliver and the scale at which they are adopted. Responsibilities Work with Autodesk's customers to implement construction solutions related to document management, data management, field workflows and handover/ turnover Analysis, improvement and implementation of processes and workflows Lead consulting engagements with customers, and document the value delivered during those engagements Apply Autodesk product sets to detailed industry requirements and workflows Configure solutions based on product capabilities and customer requirements <

Job Requisition ID # 26WD101600 The People Services Senior HR Advisor plays a key role within our regional People Services Operations team, delivering Tier 2 employee lifecycle processes and a broad range of HR services. Working closely with cross-functional teams, including People Consulting, Benefits, Legal, Talent Acquisition, Data Insights, Health & Safety, and Diversity & Belonging, you will help deliver an exceptional employee experience while ensuring HR processes are efficient, compliant, and consistently applied. As a local subject matter expert, you will provide expertise across HR Operations, Benefits Coordination, HR Compliance, Programme and Project Support, and Process Improvement. You will contribute to the continuous enhancement of HR services, ensuring operational excellence, regulatory compliance, and effective service delivery. You will report directly to the EMEA People Services Manager. This is a hybrid role, offering a combination of home and office working. Main Responsibilities: Act as the primary point of contact for service requests and escalations routed from Tier 1 Deliver end-to-end employee onboarding and offboarding services Support the preparation and delivery of local employee communications Ensure the accuracy, reliability, and completeness of payroll inputs Manage benefits and

Job Requisition ID # 26WD101685 Position Overview The Autodesk Enterprise Customer Success organization is looking for an accomplished, and enthusiastic individual to join our Consulting Services team as a Senior Implementation Consultant for construction in Japan. As a Senior Implementation Consultant, you will use your construction industry and technical knowledge to help our customers put design, engineering, and construction solutions into real-world. While we support hybrid work, you will need to travel to our customer site and required to come to office when required. You will report to a consulting manager and work directly with our customers to offer consulting services including process improvement and implementation strategies, software training, configuration, mentoring and technical guidance. Providing these services will ensure customers are maximizing the value from their investment in Autodesk technologies and ensuring the success of transformational changes to their business. You will also track the value of the solutions we deliver and the scale at which they are adopted. Responsibilities Work with Autodesk's customers to implement construction solutions related to document management, data management, field workflows and handover/ turnover analysis, improvement and implementation of processes and workflows Lead consulting engagements with customers, and document the value delivered during those engagements Apply Autodesk product sets to detailed industry requirements and workflows Configure solutions based on product capabilities and c

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. Join our team in Santa Clara to lead engineers building rack-scale infrastructure software that makes complex hardware manageable and programmable. You will own delivery of control planes, lifecycle orchestration, system health, and recovery capabilities, working across hardware, firmware, networking, and operations teams to support customer deployments at rack and fleet scale. What you'll be doing: Take ownership for the delivery of rack-scale infrastructure software within a cross-functional organizational structure. Coordinate commitments, address ownership gaps, and stay accountable for results from requirements to production adoption and support. Translate business needs and evolving hardware roadmaps into release priorities and achievable plans. Balance staffing, dependencies, and technical risk across projects as priorities change. Partner with architects and technical leads on control planes, lifecycle orchestration, health analysis, and recovery. Guide engineering tradeoffs and ensure a consistently high standard for reliability, security, and maintainability. Build and develop the team through hiring, mentoring, and clear performance expectations. Grow technical leads and future managers, delegate impo

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

Production engineering is a field that involves crafting, building, and maintaining large-scale production systems with high efficiency and availability. It encompasses various areas, including software and systems engineering practices, storage, data management, and services. Professionals in the role of Production Engineers hold specialized knowledge and expertise across various domains, including storage architecture, high-performance distributed storage, data management, systems, networking, coding, database management, prioritization, continuous delivery and deployment, along with open-source cloud-enabling technologies such as Kubernetes, containers, and virtualization. Their responsibilities include ensuring storage architectures are reliable, scalable, and efficient. They optimize data placement and access patterns. They manage large-scale distributed storage systems and ensure low-latency data access for HPC and AI/ML workloads. Storage Production Engineers at NVIDIA ensure that our internal and external-facing GPU cloud services meet reliability and uptime goals as promised to the users while enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency, and performance. This role also requires a mindset focused on automating storage operations, improving data access efficiency, and optimizing storage performance. Much of our software development focuses on optimizing operations through automation, enhancing system responsiveness, and improving the efficiency of storage and production systems. Since Production Engineers are responsible for the big picture of how our systems interface with each other, we use a breadth of tools and approaches to tackle a broad spectrum of challenges. Practices such as proactive storage performance monitoring, automated fault detection and remediation, scalable data redundancy methods, and integration of intelligent

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&#43;&#43; 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&#43;&#43; or Python programming skills Familiarity with computer architecture, and ability to work close to the hardware 5&#43; 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&#43; 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

We anticipate the application window for this opening will close on - 19 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life The Surgical Operating Unit strives to enable earlier diagnosis, better treatment, faster complication-free recovery, and enhanced patient outcomes through less invasive surgical solutions across the care continuum. Be a part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovations. We are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. The Senior GYN Sales Specialist is responsible for driving clinical and procedural excellence to achieve above-market growth in the assigned territory. This role involves developing strategic account plans, fostering key customer relationships, executing competitive defense strategies, and leveraging sales, education, and program initiatives to accelerate procedural adoption and market conversion. Territory: Greater San Francisco Bay area including Oakland, Fremont, Walnut Creek, Concord, Redwood City, and Marin (East Bay, Peninsula and North San Francisco/Marin). Key Responsi

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 solve, 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 ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. 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. What you'll be doing: You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc. Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation. What we need to see: BS (or equivalent experience) in Electrical or Computer Engineering with 5&#43