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# Senior Software Engineer - Scientific Evaluation

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $82,735.0 - $97,335.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), CMake, Nvidia CUDA, Computer Engineering, Linux, Distributed Systems, Github, Python (Programming Language), Software Engineering, Pytorch, Large Language Models, Caching, Gitlab, Git, Kubernetes, Information Technology, Slurm, Data Pipelines, Docker
- **Published:** August 9, 2026
- **Apply:** https://www.jofdav.com/jobs/59184331-senior-software-engineer-scientific-evaluation

## About the Role

* 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!

## Description

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.


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