Senior Performance Ingegnere — NVIDIA (ufficio Zurich)
- Località
- Zürich
- Contratto
- full-time
- Pubblicato
- Ieri
Panoramica
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
Azienda e contesto
- 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
Dettagli ulteriori
- 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
Note e contenuto originale
- 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
Domande frequenti su questo annuncio
Che stipendio offre NVIDIA (ufficio Zurich) per questa posizione?
NVIDIA (ufficio Zurich) indica CHF 101'500 - 154'000 lordi annui per questo ruolo a Zürich. Questo è lo stipendio pubblicato nell'annuncio originale (o, quando il datore non specifica una cifra, una stima realistica per ruolo e settore) — il calcolatore di questo sito lo converte nel netto reale una volta applicate imposta da frontaliere e contributi sociali.
È un ruolo a tempo pieno, e che tipo di contratto offre NVIDIA (ufficio Zurich)?
Questo annuncio è una posizione a tempo pieno. Il tipo di contratto mostrato qui arriva direttamente dall'annuncio originale del datore di lavoro; conferma sempre orario esatto, preavviso e durata del periodo di prova con NVIDIA (ufficio Zurich) durante il colloquio, perché questi dettagli possono variare anche all'interno della stessa categoria contrattuale.
Serve un permesso da frontaliere per un ruolo nel canton Zurigo?
I residenti UE/AELS nella zona di frontiera del paese confinante con il canton Zurigo possono richiedere il Permesso G; il datore di lavoro svizzero lo presenta all'ufficio della migrazione di quel canton dopo la firma del contratto. Regole sulla zona di frontiera e tempi di lavorazione variano per paese confinante e canton — verifica i dettagli con l'ufficio della migrazione del canton Zurigo o con HR durante il colloquio.
Come mi candido a questa posizione presso NVIDIA (ufficio Zurich)?
Usa il pulsante "Candidati ora" in questa pagina — rimanda direttamente all'annuncio originale di NVIDIA (ufficio Zurich) su nvidia.wd5.myworkdayjobs.com, quindi la tua candidatura arriva direttamente nel sistema di gestione candidature del datore di lavoro. Frontaliere Ticino non raccoglie né inoltra candidature in proprio.
