Senior Systems Engineer, GPU Workloads & Performance

NVIDIA Corporation; United States; Hybrid; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation is seeking a senior systems software engineer to optimize build, simulation, and validation workloads across GPU-accelerated infrastructures. You will enable configuration, remote execution, and resource orchestration for CPUs, GPUs, storage, and data paths, while diagnosing slowdowns and failures with rigorous experiments.

Applicants should have 8+ years in production compute systems, strong Linux skills, and a track record of delivering production-ready changes.

Qualifications

• Over 8 years of software engineering experience with production compute infrastructure or similar systems.
• Experience debugging complex performance or reliability issues across software and hardware boundaries.
• Proficiency in systems programming and delivering changes into production infrastructure.

Responsibilities

• Build self-service mechanisms for configuring and validating infrastructure workflows.
• Provide diagnostic views across application, submission, remote-execution, and host layers.
• Set benchmarks and apply profiling, traces, and experiments to improve performance.
• Evaluate scheduling, resource management, and data paths across compute/GPU resources.
• Collaborate with owners to reduce recurring failures and unnecessary re-execution.
• Validate infrastructure changes with multiple teams and measure impact on turnaround and cost.

Skills

Distributed systems

Performance debugging

Systems programming

Linux proficiency

Cross-team collaboration

Education

Bachelor's degree in CS/CE or related field

Tools

Bazel

CUDA

CI infrastructure

Job description

NVIDIA Corporation is seeking a senior systems software engineer to optimize build, simulation, and validation workloads across GPU-accelerated infrastructures. You will enable configuration, remote execution, and resource orchestration for CPUs, GPUs, storage, and data paths, while diagnosing slowdowns and failures with rigorous experiments.

Applicants should have 8+ years in production compute systems, strong Linux skills, and a track record of delivering production-ready changes.