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

Developer Technology Engineer, Energy
NVIDIA —Zürich, ZH
- 100%
- Master
- C++
- Linux
10 Tage
IT Systems Administrator (Linux)
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- AWS
- SharePoint
- Linux
Direkt bewerben
AI Software Engineer
Universität Zürich —Zürich, ZH
- 100%
- Forschungserfahrung
- Master
- Softwareentwicklung
- Weiterbildungen
Platform Engineer
TechBiz Global GmbH —Zürich, ZH
- 100%
- Homeoffice
- Master
- AWS
- C++
Direkt bewerben
3 Tage
Cyber Security Engineer Splunk
Cybercon GmbH —Zürich, ZH
- Teilzeit
- Englisch
- Erfahrung in der IT
- Linux
11 Tage
Robotics Software Engineer Internship - Autonomy
Gravis Robotics —Zürich, ZH
- Homeoffice
- Laborerfahrung
- Forschungserfahrung
- Master
Embedded Linux Engineer (WI/LU)
Noser Engineering AG —Winterthur, ZH
- Englisch
- C++
- Linux
Senior Kubernetes Platform Engineer / DevOps Engineer (a) 80 - 100%
CONVOTIS Schweiz AG —Zürich, ZH
- Hybrides Arbeiten
- Linux
- Homeoffice-Möglichkeit
- Eltern-/Erziehungsurlaub
Direkt bewerben
Plattform Engineer (w/m) 80 - 100%
NZZ-Mediengruppe —Zürich, ZH
- Homeoffice
- Management-Erfahrung
- Englisch
- AWS
- Homeoffice-Möglichkeit
11 Tage
DevOps Engineer Network, Security & Communication (m/w/d)
Zürcher Kantonalbank —Zürich, ZH
- Teilzeit
- Linux
- Python
- Aufstiegsmöglichkeiten
12 Tage
Crypto ATM TechOps Engineer
Cryptonow —Zug, ZG
- 100%
- Englisch
- Scripting
- Erfahrung in der IT
Direkt bewerben
Senior Big Data System Engineer (Platform Engineer)
EPAM Systems, Inc. —Zürich, ZH
- Management-Erfahrung
- Englisch
- Java
- Eltern-/Erziehungsurlaub
- Pensionskasse
Fachverantwortung "Speichersysteme"
Schweizerische Nationalbank —Zürich, ZH
- Englisch
- Windows
- Linux
Senior System Engineer
Oneconsult —Zürich, ZH
- 100%
- Homeoffice
- Englisch
- Windows
- Erfahrung in der IT
Cloud Operations Engineer (all genders)
BSI Software AG —Baar, ZG
- 100%
- Englisch
- Linux
- Python
(Senior) IT System Engineer (m/w)
Loomis Schweiz AG —Kloten, ZH
- Bereitschaftsdienst
- Englisch
- Erfahrung in der IT
- Linux
RT & Kernel Engineer (human)
Neura Robotics —Zürich, ZH
- 100%
- Analysefähigkeit
- C++
- SPS-Steuerung
Direkt bewerben
9 Tage
SAP Basis Plattform Engineer, 80–100 %
Organisation und Informatik - Stadt Zürich —Zürich, ZH
- 100%
- Englisch
- Master
- Organisationstalent
- Homeoffice-Möglichkeit
- Eltern-/Erziehungsurlaub
Security Operations Engineer
Stadler Rail AG —Wallisellen, ZH
- 100%
- Management-Erfahrung
- Linux
- Python
Fullstack Developer with System Integration Focus
Asperiq —Baar, ZG
- Erfahrung mit Netzwerken
- Linux

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Developer Technology Engineer, Energy

NVIDIA -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100% | Pensum: 90-100%
vor 10 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

IT Systems Administrator (Linux)

AI Software Engineer

Platform Engineer

Cyber Security Engineer Splunk

Robotics Software Engineer Internship - Autonomy

Embedded Linux Engineer (WI/LU)

Senior Kubernetes Platform Engineer / DevOps Engineer (a) 80 - 100%

Plattform Engineer (w/m) 80 - 100%

DevOps Engineer Network, Security & Communication (m/w/d)

Crypto ATM TechOps Engineer

Senior Big Data System Engineer (Platform Engineer)

Fachverantwortung "Speichersysteme"

Senior System Engineer

Cloud Operations Engineer (all genders)

(Senior) IT System Engineer (m/w)

RT & Kernel Engineer (human)

SAP Basis Plattform Engineer, 80–100 %

Security Operations Engineer

Fullstack Developer with System Integration Focus

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

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