Senior Software Engineer: Scientific Benchmarking & GPU Evaluation

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Job summary

NVIDIA is seeking a Software Engineer - Scientific Evaluation to own a shared platform for testing, benchmarking, and agentic evaluation across CUDA, C++, Python, and PyTorch ecosystems. You will shape the architecture and deliver scalable infrastructure for reproducible results on large GPU fleets.

You will collaborate with scientists, kernel engineers, and product teams, with responsibilities spanning design, implementation, and production-readiness.

Qualifications

• BS or MS in Computer Science, Computer Engineering, or a related field.
• 5+ years of relevant industry experience.
• Strong CS fundamentals and production C++ and Python skills, with fluency in Linux, Git, GitHub/GitLab pipelines, CMake, Docker, Python packaging, and containers.
• A track record of creating test, benchmark, evaluation, or distributed execution systems that deliver versioned, reproducible results across repositories.

Responsibilities

• Own the architecture and roadmap for evaluation and benchmarking of scientific software, serving agentic and numerical evaluations.
• Design and implement infrastructure, benchmarks and test levels for classical software and scientific agents, balancing rapid turnaround time and thorough scientific coverage.
• Establish trusted references, numerical tolerances, calibrated scorers, regression thresholds, and human-review hooks for nondeterministic workloads.
• Operate heterogeneous GPU capacity using multiple control plane technologies, self-hosted runners, schedulers, queues, containers, caching, observability, and automated recovery.
• We partner with applied scientists, kernel and framework engineers, product teams, and release owners to create reproducible quality signals and production-readiness gates.

Skills

5+ years experience

C++ production skills

Python production skills

Linux

Git/GitHub/GitLab

CMake

Docker

Python packaging

Test/Benchmark/Distributed systems

Slurm/Kubernetes scheduling

Education

BS or MS in CS/CE or related

Tools

Slurm

Kubernetes

GitHub

Docker

CMake

Python packaging

Job description

NVIDIA is seeking a Software Engineer - Scientific Evaluation to own a shared platform for testing, benchmarking, and agentic evaluation across CUDA, C++, Python, and PyTorch ecosystems. You will shape the architecture and deliver scalable infrastructure for reproducible results on large GPU fleets.

You will collaborate with scientists, kernel engineers, and product teams, with responsibilities spanning design, implementation, and production-readiness.