1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design and implement cluster readiness and certification tooling in Go and Python for Kubernetes and Slurm.
- Build benchmark catalogs and real workloads covering communication, compute, storage, diagnostics, training, inference, reliability, and security.
- Develop provenance and evidence pipelines that produce signed and auditable validation results.
- Integrate GPU platforms, schedulers, and networking fabrics from single-node bring-up through multi-node production-cluster validation.
- Investigate performance and correctness gaps with internal teams and cloud partners and feed fixes into platforms and reference architectures.
- Contribute to the open-source Cluster Readiness Engine through code, design documents, documentation, and reviews.
- Author validation design documents, runbooks, and operational guides.
Requirements
- Bachelor's, master's, or Ph.D. in Computer Science, Computer or Electrical Engineering, or a related technical field, or equivalent experience.
- 8+ years of software engineering experience building infrastructure or systems software, ideally in large-scale compute, cloud, or HPC environments.
- Strong Go and Python programming skills with experience shipping production-quality services, controllers, or command-line tools.
- Deep familiarity with Linux, containers, and Kubernetes, including Kubernetes API operators or controllers.
- 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, reproducibility, and evidence practices.
- Ability to lead complex technical investigations to root cause and communicate findings to engineering and leadership audiences.
- Preferred experience with distributed training or inference using PyTorch, Megatron, NeMo, vLLM, SGLang, or TensorRT-LLM.
- Preferred familiarity with NVIDIA DGX systems, GB200 or GB300 platforms, CUDA, NVLink, NVSwitch, NVIDIA networking, Kubernetes operators, scheduler plugins, benchmarking frameworks, software supply-chain security, attestation, signed artifacts, Prometheus, Grafana, and OpenTelemetry.
Benefits
- Eligible for equity and benefits.
- Base salary is listed in two bands: 184,000 USD–287,500 USD for Level 4 and 224,000 USD–356,500 USD for Level 5.
- Applications will be accepted at least until November 1, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.