Senior Systems Software Engineer, Workload Systems Engineering

What you'll do

• Build self-service configuration, validation, and diagnostic tools for infrastructure workflows.
• Benchmark and investigate workload performance and reliability using profiling, metrics, traces, and controlled experiments.
• Implement and validate infrastructure improvements with application, build/CI, remote-execution, and infrastructure teams.

What they ask for

• Over 8 years of software engineering experience in production compute infrastructure, distributed systems, large-scale build and test systems, or comparable systems software.
• Hands-on experience debugging complex performance or reliability issues across software and hardware boundaries.
• Proficiency in a systems programming or automation language and experience delivering tested production-infrastructure changes.
• In-depth Linux experience and proficiency in at least one listed area: GPU systems and drivers, scheduling and resource management, remote execution or CI infrastructure, storage and data paths, or host and container infrastructure.

Nice to have

• Experience with GPU sharing and isolation, CUDA execution behavior, MIG or MPS, GPU driver diagnostics, or high-performance computing workloads.
• Experience with workload placement, CPU and GPU concurrency, NUMA, cloud-instance benchmarking, or cost and performance tradeoffs.

Pay

184,000 USD - 287,500 USD base salary (Level 4); 224,000 USD - 356,500 USD base salary (Level 5)

Tools

Linux, CUDA, MIG, MPS, Bazel

AI focus

NVIDIA uses AI tools in its recruiting processes; the role's duties do not specify AI work.