Jobs at Nvidia in Switzerland

What you will be doing:

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

• Design and implement new communication technologies to accelerate AI and HPC workloads.

• Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

• Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

• Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

• M.S./Ph.D. degree in CS/CE or equivalent experience.

• 5+ years of relevant experience.

• Excellent C/C++ programming and debugging skills.

• Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

• Deep understanding of operating systems, computer and system architecture.

• Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

• Strong experience with Linux.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

• Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

• Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

What You Will Be Doing:

• Collaborate with lead robotics and simulation engineers to develop a new feature or integration prototype

• Test and validate the prototype in experiments using our robotics software stacks and/or robotic hardware

• Work in a large code base in a team of senior engineers

What We Need to See:

• You are pursuing an MS, or PhD in Computer Science, Robotics, Physics or related field

• Proficient analytical abilities, especially in analysis, linear algebra, numerical algorithms, and physics

• Advanced skills in Python and C++ programming, ideally with experience using AI-assisted development tools

• The ability to independently and efficiently debug code

• Solid foundation in software engineering best practices

• The capability for self-directed work and persistence when faced with complex problems

The Crowd:

• In-depth knowledge of physics engines like PhysX, MuJoCo, or Newton

• Hands-on experience with robotic manipulation and deep learning techniques for robotics

• Experience with NVIDIA’s robotics software stack, such as Isaac Sim and Isaac Lab

• Familiarity with NVIDIA Warp and CUDA programming

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Principal Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a principal architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What you’ll be doing:

• Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.

• Lead vision, architecture and design of such technologies.

• Lead proof-of-concept development to evaluate and drive such technologies.

• Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.

• Work with the community and maintainers to drive strategic technologies

What we need to see:

• Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).

• 8+ years of industry experience (or equivalent) in systems architecture or related fields.

• Experienced in virtualization, networking and storage.

• Experienced in either Windows or Linux drivers, with a very good background of the other OS.

• Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads.

• A teammate with a can-do attitude, high energy and excellent interpersonal skills.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Shown research track record.

• Have experience and passion for system architecture,CPU/GPU/memory/storage/networking.

• Stellar communication skills.

• Knowledge in Deep Learning frameworks

This role is based in our newly expanded Zurich office (2-3 days p/w), a hub of innovation and collaboration. As an HR Generalist, you’ll partner with leaders and teams across the organization to drive anexceptional employeeexperience—one that inspires people to do their life's work and feel deeply connected to our mission. Recognized among the Top Employers by Great Place to Work 2025, we’re proud of the culture we’ve built—and you’ll play a key role in helping it grow, evolve, and continue to set the standard for what an extraordinary workplace can be.

What you'll be doing:

• Serve as the go-to HR partner for employees and new hires—from onboarding and first-day orientation to payroll setup and education on NVIDIA’s programs, benefits, and culture.

• Provide trusted guidance to managers and employees on HR policies, procedures, and entitlements.

• Prepare andmaintain accurateemploymentdocumentation andemployee records across EMEA, India, and the US.

• Partner with the mobility team to support transfers and assignments, coordinating with legal, relocation, and immigration partners.

• Ensure compliancewith locallegislation whileshaping policies that reflect NVIDIA’s values and global standards.

• Handle relationships with benefit brokers and vendors, ensuring seamless administration.

• Collaborate with regional finance to support monthly payroll accuracy.

• Contribute to regional and global HR initiatives, helping evolve and elevate the NVIDIA employee experience.

What we need to see:

• A degree in a technology or business discipline or equivalent relevant experience.

• 3+ years of relevant HR experience in a fast-paced and hands-on role preferably with international exposure.

• Excellent written communication skills in English and German.

• Exceptional initiative, with the ability to extract information, set priorities, and work autonomously.

• Formidable organizational skills, capable of multi-tasking, with fierce attention to detail.

• A sound sense of urgency and ownership, with a high level of confidentiality.

• Skilled at collaborating in a global, matrix setting with various team members.

• Excellent Microsoft Office skills and high affinity for technology.

Ways to stand out the crowd:

• Proven examples of success for developing new HR projects, establishing new benefits, or improving existing processes to adjust to changing employment landscape.

• Interest and understanding of AI tools and their use across HR workflows

What you’ll be doing:

• Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.

• Research, Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

• Create proof-of-concept to evaluate and drive such new technologies.

• Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

• Designing and implementing services, runtime systems, and applications over SDK.

• Partner and collaborate with other forward-thinking team members and external researchers.

What we need to see:

• Pursuing a Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.

• Background in algorithm design, system programming, and computer architecture.

• Strong programming and software development skills.

• A teammate with a can-do attitude, high energy and excellent interpersonal skills.

• Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

• Proven research track record.

• Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.

• Stellar communication skills.

• Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).

November 29, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. We encourage you to apply early.

What you’ll be doing:

• Develop algorithms, protocols, and network controllers

• Conduct simulations ranging from specific components to complete data center environments

• Design and implement services and runtime systems

• Define HW acceleration interfaces

• Evaluate and optimize application performance

• Partner and collaborate with industry leaders and external researchers

• Participate and speak at conferences and events

• Publish original research

What we need to see:

• MSc/PhD in Electrical Engineering, Computer Science/Engineering, or Post-doc

• 5+ years of proven experience

• Track record of independent research excellence

• Solid foundation in networking, operating systems, simulation, and systems

• Proficiency with firmware, system software, and embedded systems development to rapidly prototype

What you will be doing:

• Work with a geographically distributed partner organisation to understand, modify and improve CPU Compiler SW at NVIDIA.

• Contribute new features and optimisation techniques.

• Develop compiler SW that is optimised for performance.

• Be part of a team that is at the centre of AI, HPC and data centre technologies.

What we need to see:

• BS or MS degree in Computer Science, Computer Engineering, or related field or equivalent with minimum 3 years of work experience

• Experience with compiler development or a related academic or project.

• Knowledge of Language Front-Ends or Compiler optimisation techniques and code generation modules.

• Strong hands-on C++ programming skills

• Excellent verbal and written communications skills

Ways to stand out from the crowd:

• Familiarity with CPU architectures such as x86_64, PPC, RISC-V, Arm Architecture (AArch32, AArch64) or DSPs.

• Familiarity with industry standard compiler infrastructure such as LLVM and / or GNU Toolchain

• Knowledge of AI algorithms, scientific HPC applications and related code optimisations.

• A track record of contributing to open source compiler communities.