Senior Software Engineer, AI Inference Systems — NVIDIA (ufficio Zurich)
CHF 101'500 - 154'000
NVIDIA (ufficio Zurich) · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- 32 days ago
SalaryCHF 101'500 - 154'000
Role overview
We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency.
You’ll architect and implement high-performance inference stacks, optimize GPU kernels and compilers, drive industry benchmarks, and scale workloads across multi-GPU, multi-node, and multi-cloud environments.
You’ll collaborate across inference, compiler, scheduling, and performance teams to push the frontier of accelerated computing for AI. What you’ll be doing:
- We are seeking highly skilled and motivated software engineers to join us and build AI inference systems that serve large-scale models with extreme efficiency.
- You’ll architect and implement high-performance inference stacks, optimize GPU kernels and compilers, drive industry benchmarks, and scale workloads across multi-GPU, multi-node, and multi-cloud environments.
- Our mission is to advance AI research and development to create groundbreaking technologies that enable anyone to harness the power of AI and benefit from its potential.
What the company offers
- Our mission is to advance AI research and development to create groundbreaking technologies that enable anyone to harness the power of AI and benefit from its potential.
Additional details
- You’ll collaborate across inference, compiler, scheduling, and performance teams to push the frontier of accelerated computing for AI. What you’ll be doing:
- Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA’s software products. What we need to see:
- Software Engineering (SE) with 7+ years of experience; alternatively, Master’s degree in CS/CE/SE with 5+ years of experience; or PhD degree with the thesis and top-tier publications in ML Systems, GPU architecture, or high-performance computing.
- Strong programming skills in Python and C/C++; experience with Go or Rust is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming, distributed systems, deep learning theories.
- Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting. Ways to stand out from the crowd
- Our leadership includes world-renowned experts in AI systems who have received multiple academic and industry research awards. If you’re excited to build systems, kernel
Notes and original content
- You’ll collaborate across inference, compiler, scheduling, and performance teams to push the frontier of accelerated computing for AI.
- What you’ll be doing:
- Conduct and publish original research that pushes the pareto frontier for the field of ML Systems; survey recent publications and find a way to integrate research ideas and prototypes into NVIDIA’s software products.
- What we need to see:
- Excellent debugging, problem-solving, and communication skills; ability to excel in a fast-paced, multi-functional setting.
- Ways to stand out from the crowd
- Our leadership includes world-renowned experts in AI systems who have received multiple academic and industry research awards.
- If you’re excited to build systems, kernel
