- B.Sc in Computer Science or Software Engineering or equivalent experience.
- 15+ years of experience with high-performance networking (RDMA, MPI, NCCL, SHARP).
- Demonstrated ability in performance evaluation techniques and approaches.
- Experience with NVIDIA GPUs and the CUDA library. Knowledge of deep learning frameworks like TensorFlow or PyTorch. Expertise in networking collective communication libraries such as NCCL and protocols like RoCE and RDMA.
- Fast and self-learning capabilities with strong analytical and problem-solving skills.
- Proficiency in programming languages: Python, Bash, and C++.
- Experience with a container-based development environment.
- Great teammate who communicates clearly and works well with others.
Ways to stand out from the crowd
- Extensive understanding and hands-on experience with AI workloads and benchmarking for distributed LLM training.
- Knowledge in PyTorch, CUDA, and NCCL libraries.
- Comprehensive system knowledge and understanding (Intel / AMD / ARM CPUs, NVIDIA GPUs, HCA, Memory, PCI).
- Strong capabilities in performance evaluation and methods using contemporary tools.
With competitive salaries and a generous benefits package, we are 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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 272,000 USD – 431,250 USD for Level 6; and 320,000 USD – 488,750 USD for Level 7.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.