Senior Performance Engineer — NVIDIA (ufficio Zurich)
- Location
- Zürich
- Contract
- full-time
- Posted
- 2 days ago
Role overview
NVIDIA is seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
- Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
- Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)
- Identify performance bottlenecks across networking, compute, memory, and system architecture
- Develop and enhance performance analysis, benchmarking, and diagnostic tools
- Define performance test plans and establish expectations for new technologies and platforms
- Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
- Support telemetry collection and data refinement efforts to enable accurate performance analysis
- Maintain high standards for data quality, reproducibility, and traceability of performance results
- B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience
Company and context
- NVIDIA is seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations.
- In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments.
- You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems.
- This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking. What you’ll be doing:
- Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
- Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)
- Identify performance bottlenecks across networking, compute, memory, and system architecture
- Develop and enhance performance analysis, benchmarking, and diagnostic tools
- Define performance test plans and establish expectations for new technologies and platforms
- Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
Additional details
- This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking. What you’ll be doing:
- Maintain high standards for data quality, reproducibility, and traceability of performance results What we need to see:
- Ability to work effectively in cross-functional, fast-paced R&D teams Ways to stand out from the crowd:
- Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow Experience with cloud platforms
Notes and original content
- This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
- What you’ll be doing:
- Maintain high standards for data quality, reproducibility, and traceability of performance results
- What we need to see:
- Ability to work effectively in cross-functional, fast-paced R&D teams
- Ways to stand out from the crowd:
- Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms
Questions about this listing
What salary does NVIDIA (ufficio Zurich) offer for this role?
NVIDIA (ufficio Zurich) lists CHF 101'500 - 154'000 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does NVIDIA (ufficio Zurich) offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with NVIDIA (ufficio Zurich) during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at NVIDIA (ufficio Zurich)?
Use the "Apply now" button on this page — it links directly to NVIDIA (ufficio Zurich)'s original listing at nvidia.wd5.myworkdayjobs.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
