Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are 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. What you will be doing: • 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. What we need to see: • A BS or MS, or equivalent experience, in Computer Science, Computer Engineering, or a related field. • 5 plus years of relevant industry experience. • Strong CS fundamentals and production C++ and Python skills, with fluency in Linux, Git, GitHub/GitLab pipeline orchestration, CMake, Docker, Python packaging, and containers. • A record of creating test, benchmark, evaluation, or distributed execution systems that deliver versioned, reproducible results across repositories. • Hands-on operation of shared GPU compute with Slurm, Kubernetes, or a similar scheduler, including monitoring, isolation, and failure recovery. Sound measurement practices cover correctness, variance, flakiness, scorer calibration, and regression detection. Ways to stand out from the crowd: • Background in agentic or LLM evaluation is valuable, especially tool-use tasks, sandboxed execution, trace analysis, model-assisted scoring, and calibration. Multi-GPU or multi-node systems, CUDA software development, statistical benchmarking, and Nsight profiling can also distinguish an application. • Creative, collaborative engineers who care about reliable science are encouraged to apply! With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #deeplearning

Requirements

Must-haves

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.
A BS or MS, or equivalent experience, in Computer Science, Computer Engineering, or a related field.
5 plus years of relevant industry experience.
Strong CS fundamentals and production C++ and Python skills, with fluency in Linux, Git, GitHub/GitLab pipeline orchestration, CMake, Docker, Python packaging, and containers.
A record of creating test, benchmark, evaluation, or distributed execution systems that deliver versioned, reproducible results across repositories.
Creative, collaborative engineers who care about reliable science are encouraged to apply!
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
#deeplearning

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythondockerkubernetesllm

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision