9 meilleures offres (computing systems engineer) (à pourvoir)

Senior Performance Engineer
NVIDIA —Zürich, ZH
- 100%
- Niveau Master
- Esprit d'analyse
- C++
5 h
Software Architect, Service Management Platform (OSI-SMS-2026-140-LD)
CERN —Genève, GE
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- Recherche
Postuler rapidement
Senior GPU Networking Architect
NVIDIA —Zürich, ZH
- De 292 500 CHF à 650 000 CHF par an
- 100%
- Informatique
- Compétences rédactionnelles
- Niveau Master
Senior Compiler Engineer
NextSilicon —Zürich, ZH
- Niveau Doctorat
- Niveau Master
- C++
Postuler rapidement
Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety
Amazon Data Services Switzerland GmbH —Zürich, ZH
- 100%
- Anglais
- AWS
- Construction et rénovation
HPE Labs - EMEA Research Lab Ph.D. Intern
Hewlett Packard Enterprise —Bâle, BS
- 100%
- Niveau Doctorat
- Recherche
- Niveau Master
Sr. Delivery Consultant - Security, Global ProServe Security
AWS EMEA SARL (Switzerland Branch) —Genève, GE
- 100%
- AWS
10 h
Machine Learning Engineer
Giotto.ai —Lausanne, VD
- 100%
- Télétravail
- Niveau Doctorat
- Python
Postuler rapidement
Sales Engineer (DACH Region)
Fortanix —Suisse
- 100%
- Télétravail
- AWS
- Scripting
- Python
Postuler rapidement

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Senior Performance Engineer

NVIDIA -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 5 heures

Qualifications

Niveau Master
Bash
Esprit d'analyse
C++
Niveau Licence
Réseaux informatiques
Linux
Compétences en communication
Python

Description complète du poste

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
Support telemetry collection and data refinement efforts to enable accurate performance analysis
Maintain high standards for data quality, reproducibility, and traceability of performance results

What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience
5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure
Demonstrated expertise in performance analysis skills and methodologies
Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control)
Strong understanding of system performance metrics (latency, throughput, resource utilization)
Exposure to hardware, firmware, or embedded telemetry environments
Strong analytical, problem-solving, and communication skills
Ability to work effectively in cross-functional, fast-paced R&D teams

Ways to stand out from the crowd:

Knowledge of CUDA, NCCL internals, and congestion control algorithms
Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe
Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow
Experience with cloud platforms
Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments

At NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the smartest engineers in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere passion for technology, we want to hear from you.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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computing systems engineer emplois

Senior Performance Engineer

Software Architect, Service Management Platform (OSI-SMS-2026-140-LD)

Senior GPU Networking Architect

Senior Compiler Engineer

Health & Safety Manager, Data Center Health and Safety , Data Center Health and Safety

HPE Labs - EMEA Research Lab Ph.D. Intern

Sr. Delivery Consultant - Security, Global ProServe Security

Machine Learning Engineer

Sales Engineer (DACH Region)

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