Senior Software Engineer, Scientific Evaluation

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CA
Employment: Full-time
Posted: 79 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $170k

$107k $236k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,500–$190,500.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, Scientific Evaluation

Role Posting Log in to save

Senior Software Engineer - Scientific Evaluation will join the team to own a shared platform for classical testing, scientific benchmarking, and agentic evaluation. The role involves designing and implementing infrastructure, benchmarks, and test levels for scientific agents and classical software while balancing rapid turnaround with thorough scientific coverage. Key responsibilities include establishing numerical tolerances, calibrated scorers, and regression thresholds for nondeterministic workloads. The position requires operating heterogeneous GPU capacity using control plane technologies, self-hosted runners, schedulers, containers, and observability tools. Candidates must possess production C++ and Python skills, fluency in Linux, Git, CMake, and Docker, and experience with Slurm or Kubernetes. The work focuses on creating reproducible quality signals and production-readiness gates for CUDA and C++ libraries, PyTorch integrations, and scientific models.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

See salary data

Skills

C++ Python CUDA PyTorch Kubernetes Slurm Docker Linux Git CMake Distributed Systems Nsight LLM Evaluation Observability

What you'll do

Own the architecture and roadmap for scientific software evaluation and benchmarking.
Design and implement infrastructure for testing classical software and scientific agents.
Establish numerical tolerances, calibrated scorers, and regression thresholds for nondeterministic workloads.
Operate heterogeneous GPU capacity using schedulers, containers, and automated recovery systems.
Create reproducible quality signals and production-readiness gates for various engineering teams.
Manage distributed execution systems to deliver versioned and reproducible results across repositories.

What we're looking for

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.
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.
Hands-on operation of shared GPU compute with Slurm, Kubernetes, or a similar scheduler.
Sound measurement practices covering correctness, variance, flakiness, scorer calibration, and regression detection.
Background in agentic or LLM evaluation, multi-GPU/multi-node systems, CUDA software development, statistical benchmarking, and Nsight profiling (preferred).

Save