20 beste Stellen als linux system engineer in zürich, zh – aktuell auf Personalsuche

Developer Technology Engineer, Energy
NVIDIA —Zürich, ZH
- 100%
- Master
- C++
- Linux
12 Tage
Automation Engineer Schwerpunkt Network- & Firewallautomation (w/m)
ITRIS Gruppe —Spreitenbach, AG
- Englisch
- Scripting
- Erfahrung in der IT
- Homeoffice-Möglichkeit
16 Std.
Senior Embedded Linux Engineer / Architect "BSP/Yocto" (f/m/d) 80 - 100 %
Kistler Instrumente AG —Winterthur, ZH
- Homeoffice
- Management-Erfahrung
- Englisch
- Linux
6 Std.
Software Developer Embedded Linux 80-100%
Siemens —Zug, ZG
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
1 Tag
Software Engineer Internship
Gravis Robotics —Zürich, ZH
- Überstunden
- Homeoffice
- Informatik
- Englisch
- Master
RT & Kernel Engineer (human)
Neura Robotics —Zürich, ZH
- 100%
- Analysefähigkeit
- C++
- SPS-Steuerung
Direkt bewerben
12 Tage
Robotics Software Engineer Internship - Autonomy
Gravis Robotics —Zürich, ZH
- Homeoffice
- Laborerfahrung
- Forschungserfahrung
- Master
Senior Software Engineer, Generalist
Anza —Zürich, ZH
- 100%
- Homeoffice
- Informatik
- C++
- Bachelor
Direkt bewerben
Cyber Security Engineer Splunk
Cybercon GmbH —Zürich, ZH
- Teilzeit
- Englisch
- Erfahrung in der IT
- Linux
14 Tage
Technical Solution Engineer 80-100% (m/w)
Health Info Net AG —Wallisellen, ZH
- Homeoffice
- Englisch
- Linux
- Homeoffice-Möglichkeit
- Lohnfortzahlung bei Krankheit
Customer Success Engineer Cyber Security (Zurich, 100%)
xorlab AG —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Informatik
- Englisch
- Analysefähigkeit
Direkt bewerben
Working Student — Fleet Observability & Data Visualization
Gravis Robotics —Zürich, ZH
- Teilzeit
- Englisch
- Master
- Datenbanken
10 Std.
Senior Security and System Engineer
libC Technologies SA —Zürich, ZH
- Informatik
- Wartung
- Englisch
DevOps Engineer & Site Reliability Engineering Architect/Consultant
Digital Architects Zurich —Zürich, ZH
- Teilzeit
- Englisch
- Java
- Master
Direkt bewerben
IT Systems Administrator (Linux)
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- AWS
- SharePoint
- Linux
Direkt bewerben
Forward Deployed Engineer - Robotics
Flexion Robotics —Zürich, ZH
- Master
- C++
- Erfahrung mit Netzwerken
Direkt bewerben
Security Operations Engineer
Stadler Rail AG —Wallisellen, ZH
- 100%
- Management-Erfahrung
- Linux
- Python
Fullstack Software Engineer
Bergauer AG —Dättwil, AG
- Teilzeit
- Englisch
- Java
- Linux
Windows Server Engineer
IT Di-Visions AG —Zürich, ZH
- Teilzeit
- Linux
- Python
IT Operation Engineer
Stadler Rail AG —Wallisellen, ZH
- 100%
- Software-Fehlerbehebung
- Scripting
- Erfahrung in der IT

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Developer Technology Engineer, Energy

NVIDIA -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 12 Tagen

Qualifikationen

Master
C++
Docker
Linux
Python
Debugging

Vollständige Stellenbeschreibung

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA is looking for a passionate, world-class computer scientists and engineers (Compute Developer Technology - DevTech) to accelerate Energy simulation and AI workflows on NVIDIA platforms. You will focus on CUDA performance optimization for workloads such as seismic processing (e.g., imaging/inversion pipelines), reservoir simulation, power grid simulators, and related HPC/AI production workflows. You will work hands-on with customer and partner engineering teams as well as NVIDIA product and engineering groups to deliver measurable speedups and scalable performance on multi-GPU and multi-node systems.

What you will be doing:

Profile, analyze, and optimize GPU-accelerated applications with emphasis on CUDA kernels, memory movement, concurrency, and end-to-end throughput.
Drive performance improvements across the stack:
- CUDA C++ kernel optimization, launch configuration, memory hierarchy, streams/events
- GPU libraries (as applicable): cuBLAS, cuFFT, cuSPARSE, cuSOLVER, NCCL
- Multi-GPU and multi-node scaling using MPI + NCCL, CPU/GPU overlap, communication patterns
Build reproducible benchmarks, performance reports, and tuning recommendations (before/after, methodology, scaling curves).
Develop and maintain reference implementations, examples, and/or patches to customer code to enable performance and portability.
Support customer engagements (POCs to production), including debugging correctness/performance issues and advising on best practices for deployment (containers, schedulers, clusters).
Collaborate with internal teams to file actionable issues, validate fixes, and influence roadmap based on real customer requirements in Energy.
Build internal libraries and resusable code that would lead to future NVIDIA products.

What we need to see:

BS/MS (or equivalent experience) in CS/CE/EE/Physics/Applied Math or related field.
Strong programming skills in C/C++ and Python on Linux.
Hands-on experience with CUDA programming and GPU performance optimization concepts.
Experience profiling and debugging performance using tools such as NVIDIA Nsight Systems / Nsight Compute (or equivalent).
Understanding of parallel computing and performance fundamentals (vectorization, threading, NUMA, memory bandwidth/latency).
Ability to communicate technical findings clearly to both engineers and non-engineers.
5+ years relevant experience in GPU/HPC optimization; strong track record of delivered speedups and scaling improvements.

Ways to stand out from the crowd:

Leads performance reviews with customer stakeholders; creates reusable playbooks/reference designs. Experience/Skills (typical)
HPC experience with MPI, distributed systems, and multi-node performance tuning.
Energy/HPC domain exposure:
- Seismic processing pipelines, RTM/FWI-style patterns, FFT/stencil/linear algebra heavy codes
- Reservoir simulation (sparse/iterative solvers), preconditioning, domain decomposition
- Power grid simulation / transient stability / optimization workflows
Experience with CI/perf regression testing, containerized workflows (Docker/Apptainer), and schedulers (Slurm).
Familiarity with AI workflows used alongside simulation (data prep, training/inference integration, pipeline performance).

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Jetzt bewerben

Erweiterte Suche

linux system engineer Jobs in zürich, zh

Developer Technology Engineer, Energy

Automation Engineer Schwerpunkt Network- & Firewallautomation (w/m)

Senior Embedded Linux Engineer / Architect "BSP/Yocto" (f/m/d) 80 - 100 %

Software Developer Embedded Linux 80-100%

Software Engineer Internship

RT & Kernel Engineer (human)

Robotics Software Engineer Internship - Autonomy

Senior Software Engineer, Generalist

Cyber Security Engineer Splunk

Technical Solution Engineer 80-100% (m/w)

Customer Success Engineer Cyber Security (Zurich, 100%)

Working Student — Fleet Observability & Data Visualization

Senior Security and System Engineer

DevOps Engineer & Site Reliability Engineering Architect/Consultant

IT Systems Administrator (Linux)

Forward Deployed Engineer - Robotics

Security Operations Engineer

Fullstack Software Engineer

Windows Server Engineer

IT Operation Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als linux system engineer in zürich, zh erhalten

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