NVIDIA
DSX NVCRE Senior Engineer
$184K–$356K
US, CA, Santa Clara +3 · Senior · Full-time · Posted Oct 28, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, Remote
US, WA, Seattle - Experience
- 8+ years of software engineering experience building infrastructure or systems software; ideally in large-scale compute, cloud, or HPC environments.
- Education
- BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.
About the job
Build and operate software that validates, benchmarks, and certifies GPU clusters for production workloads across Kubernetes and Slurm.
What you'll do
- Design and implement cluster readiness and certification tools, including controllers, operators, CLIs, and scheduler integrations.
- Build benchmark and workload catalogs, and create auditable evidence pipelines with signed results.
- Integrate new GPU platforms, schedulers, and fabrics; investigate validation issues with internal teams and cloud partners.
What they ask for
- Strong programming skills in Go and Python, with production software delivery experience.
- Deep familiarity with Linux, containers, and Kubernetes, including operators or controllers using the Kubernetes API.
- Working knowledge of Slurm and GPU cluster fundamentals, including drivers, NCCL, InfiniBand or RoCE, and DCGM.
- Experience benchmarking or validating distributed systems, with rigorous measurement and reproducibility.
Nice to have
- Hands-on experience with distributed training or inference frameworks such as PyTorch, Megatron, NeMo, vLLM, SGLang, or TensorRT-LLM.
- Experience with NVIDIA systems and platforms, open-source infrastructure, supply-chain security, observability, GitOps, or infrastructure as code.
Pay
184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)
Tools
Go, Python, Kubernetes, Slurm, NCCL, InfiniBand, RoCE, DCGM
AI focus
Validates GPU clusters for AI training and inference workloads, including measuring their performance and readiness for production.
Model-written summary · the original posting is authoritative