Senior Software Engineer - Scientific Evaluation

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI CUDA @ 4 Distributed Systems @ 4 Docker @ 6 GPU @ 4 Git @ 6 GitHub @ 6 Kubernetes @ 4 LLM @ 4 Linux @ 6 Observability Profiling @ 4 PyTorch Python @ 7 Slurm @ 4 Software Development @ 4

Details

NVIDIA is seeking a Software Engineer - Scientific Evaluation to own a shared platform for classical testing, scientific benchmarking, and agentic evaluation. The portfolio spans CUDA and C++ libraries, Python packages, PyTorch integrations, scientific models, and AI agents. This hands-on role combines production software engineering, rigorous measurement, distributed systems, and large GPU fleets.

Responsibilities

Own the architecture and roadmap for evaluation and benchmarking of scientific software, supporting agentic and numerical evaluations.
Design and implement infrastructure, benchmarks, and test levels for classical software and scientific agents, balancing rapid turnaround with 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.
Partner with applied scientists, kernel and framework engineers, product teams, and release owners to create reproducible quality signals and production-readiness gates.

Requirements

Bachelor's or master's degree, or equivalent experience, in Computer Science, Computer Engineering, or a related field.
More than 5 years of relevant industry experience.
Strong computer science fundamentals and production C++ and Python skills.
Fluency with Linux, Git, GitHub/GitLab pipeline orchestration, CMake, Docker, Python packaging, and containers.
Experience creating test, benchmark, evaluation, or distributed execution systems that deliver versioned, reproducible results across repositories.
Hands-on experience operating shared GPU compute with Slurm, Kubernetes, or a similar scheduler, including monitoring, isolation, and failure recovery.
Sound measurement practices covering correctness, variance, flakiness, scorer calibration, and regression detection.

Preferred Qualifications

Experience with agentic or LLM evaluation, particularly tool-use tasks, sandboxed execution, trace analysis, model-assisted scoring, and calibration.
Experience with multi-GPU or multi-node systems, CUDA software development, statistical benchmarking, or Nsight profiling.
Creative and collaborative approach with a focus on reliable scientific results.

Compensation and Benefits

Base salary range: $152,000–$241,500 for Level 3, or $184,000–$287,500 for Level 4, depending on location, experience, and pay for similar positions.
Eligible for equity and benefits.
Full-time position.
Applications accepted at least until August 13, 2026.
NVIDIA is an equal opportunity employer and is committed to an inclusive work environment.