Senior Software Engineer - Scientific Evaluation

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Strong CS fundamentals","Attention to measurement","Collaboration","Autonomy","Reliability mindset"]

Build and own a shared platform for classical testing, scientific benchmarking, and agentic evaluation. You’ll design evaluation infrastructure, benchmarks, and test levels, establish trusted references and calibrated scoring for nondeterministic workloads, and operate heterogeneous GPU compute across distributed control-plane technologies. Partner with applied scientists, framework/kernel engineers, and product/release teams to deliver reproducible quality signals and production-readiness gates.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Senior Software Engineer - Scientific Evaluation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Build and own a shared platform for classical testing, scientific benchmarking, and agentic evaluation. You’ll design evaluation infrastructure, benchmarks, and test levels, establish trusted references and calibrated scoring for nondeterministic workloads, and operate heterogeneous GPU compute across distributed control-plane technologies. Partner with applied scientists, framework/kernel engineers, and product/release teams to deliver reproducible quality signals and production-readiness gates.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

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

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Key Requirements

  • •BS or MS (or equivalent experience) in Computer Science, Computer Engineering, or a related field.
  • •5+ years of relevant industry experience.
  • •Strong production C++ and Python skills with Linux experience.
  • •Fluency with Git/GitHub/GitLab pipeline orchestration, CMake, Docker, and Python packaging/containers.
  • •Experience building test, benchmark, evaluation, or distributed execution systems producing versioned, reproducible results across repositories.
Experience:5+ yearsComputer graphicsAccelerated computingAI agentsDistributed systems
Education:Bachelor's in Computer Science, Computer Engineering, or a related field
Skills:Strong CS fundamentalsAttention to measurementCollaborationAutonomyReliability mindset
Tech Stack:CUDAC++PythonPyTorchLinuxGitGitHubGitLabCMakeDockerContainersSlurmKubernetesObservabilityCachingNsightAgentic evaluationLLM evaluation

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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