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

Senior HPC and AI Network Software Architect
NVIDIA —Zürich, ZH
- De 221 250 CHF à 507 000 CHF par an
- 100%
- Informatique
- Niveau Doctorat
- C++
Principal Engineer, Shopping Graph Core Data
Google —Zürich, ZH
- 100%
- Compétences en communication
il y a 3 jours
Senior Product Security Engineer / Architect [Lausanne]
Taurus SA —Lausanne, VD
- Travail hybride
- Bar
- Informatique
- Niveau Doctorat
Postuler rapidement
Research Fellowship: Applied Physics and Engineering
CERN —Genève, GE
- De 7 004 CHF à 7 425 CHF par mois
- 100%
- Niveau Doctorat
- Anglais
- Recherche
- Formation sur place
Postuler rapidement
Ingegnere DevOps III (data platform)
Amministrazione federale - Dipartimento federale della difesa, della protezione della popolazione e dello sport DDPS —Wald, ZH
- De 540 CHF à 19 848 CHF par an
- Linux
Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Meta —Zürich, ZH
- Niveau Doctorat
- Analyse de données
- Recherche
Sr. Delivery Consultant - Security, Global ProServe Security
AWS EMEA SARL (Switzerland Branch) —Zürich, ZH
- 100%
- AWS
Senior GPU Networking Architect
NVIDIA —Zürich, ZH
- De 292 500 CHF à 650 000 CHF par an
- 100%
- Informatique
- Compétences rédactionnelles
- Niveau Master
Senior Infrastructure Business Operations Manager
Roche —Bâle, BS
- 100%
- Esprit d'analyse
- Niveau Licence
- Compétences en communication
Senior Marketing Manager
Domera Labs —Zürich, ZH
- De 65 000 CHF à 100 000 CHF par an
- 100%
- Leadership
- Python
Postuler rapidement
il y a 7 jours
Software Engineer II, Full Stack
Google —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Java
14 h
Software Engineer II, YouTube Studio, Full Stack
YouTube —Zürich, ZH
- 100%
- Informatique
- Niveau Doctorat
- Java
14 h

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Senior HPC and AI Network Software Architect

NVIDIA -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
De 221 250 CHF à 507 000 CHF par an

Qualifications

Informatique
Niveau Doctorat
C++
Équipement informatique
Réseaux informatiques
Technologies de l'information
Compétences en communication
Python

Description complète du poste

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Senior HPC and AI Network Software Architect to help build the next generation of scalable AI infrastructure. The role emphasizes distributed training, real-time inference, and communication efficiency across large systems. You will develop new software and hardware approaches, shape platform evolution through hands-on innovation, and contribute to designing systems powering the fastest AI workloads globally. Collaborate with our distinguished team of researchers and engineers building software and hardware for AI at an outstanding scale.

What you will be doing:

Build and evolve the architecture of scalable software systems for distributed AI training and inference, focusing on throughput, latency, resiliency, and memory efficiency across cluster-scale deployments.
Develop and evaluate next-generation communication and runtime capabilities in libraries such as NCCL, UCX, and UCC, tailored to the evolving demands of frontier AI workloads.
Partner with AI framework teams (e.g., TensorFlow, PyTorch, JAX) and internal platform teams to build integrations, explore new approaches, and improve end-to-end performance and reliability.
Collaborate on hardware and system-level features across GPUs, DPUs, and interconnects to speed up data movement and enable new capabilities for training, inference, and model serving at scale.
Drive innovation across runtime systems, communication libraries, and AI-specific protocol layers, helping turn new ideas into practical capabilities and robust implementations.

What we need to see:

Ph.D., or equivalent industry experience, in computer science, computer engineering, or a closely related field.
5+ years of experience in systems programming, parallel or distributed computing, high-performance networking, or large-scale data movement, including experience designing and building complex systems.
Strong programming background in C++, Python, and ideally CUDA or other GPU programming models, with a track record of building production-quality performance-critical software.
Extensive hands-on experience with AI frameworks (e.g., PyTorch, TensorFlow, JAX) and a solid grasp of how communication libraries and runtime systems facilitate large-scale training and inference.
Demonstrated success in developing and refining high-throughput, low-latency systems, including the ability to reason across software stacks, hardware capabilities, and system bottlenecks.
Strong collaboration skills in a multi-national, interdisciplinary setting, with the ability to contribute ideas, build momentum, and work effectively with senior engineers, researchers, and partner teams.

Ways to stand out from the crowd:

Deep expertise with NCCL, UCX, UCC, or similar communication libraries used in large-scale AI and HPC workloads.
Strong background in networking and communication protocols, RDMA, collective communications, congestion-aware transport, or accelerator-aware networking.
Comprehensive knowledge of large model training and inference serving at scale, including communication bottlenecks, scheduling challenges, and system-level tradeoffs across compute, memory, and fabric.
Experience crafting hardware-software co-design for distributed AI systems, including contributions that advanced GPU, DPU, interconnect, or runtime capabilities.
Familiarity with infrastructure for deployment of LLMs or transformer-based models, including sharding, pipelining, expert parallelism, or hybrid parallelism.

At NVIDIA, you’ll work alongside individuals who are dedicated to continuous learning and creative problem-solving in the industry, pushing the boundaries of what’s possible in AI and high-performance computing. If you're passionate about architecting distributed systems, advancing AI infrastructure, and solving problems at scale, we want to hear from you!

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.

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computing systems engineer emplois

Senior HPC and AI Network Software Architect

Principal Engineer, Shopping Graph Core Data

Senior Product Security Engineer / Architect [Lausanne]

Research Fellowship: Applied Physics and Engineering

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Sr. Delivery Consultant - Security, Global ProServe Security

Senior GPU Networking Architect

Senior Infrastructure Business Operations Manager

Senior Marketing Manager

Software Engineer II, Full Stack

Software Engineer II, YouTube Studio, Full Stack

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