Senior Software Engineer, Agent Simulation and Evaluation

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 152,000 - 287,500 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: mastersSkills: ["Analytical thinking","Automation","Collaboration"]

Build agentic systems that automate simulation, evaluation, performance analysis, and reporting for NVIDIA’s LPU workloads. Develop tooling to configure experiments, run evaluations, analyze results, detect regressions, and recommend follow-up work. Analyze inference characteristics of LLMs, reasoning models, coding agents, multimodal models, and agentic harnesses, and build/validate GPU–LPU performance models. Collaborate across inference, hardware, runtime, compiler, evaluation, and product teams to improve simulation quality and accelerate engineering decisions.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Senior Software Engineer, Agent Simulation and Evaluation

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Source: Company careers pageValidated by: Fursa AI
Last checked: 29 minutes agoStatus: Live

Job Summary

Build agentic systems that automate simulation, evaluation, performance analysis, and reporting for NVIDIA’s LPU workloads. Develop tooling to configure experiments, run evaluations, analyze results, detect regressions, and recommend follow-up work. Analyze inference characteristics of LLMs, reasoning models, coding agents, multimodal models, and agentic harnesses, and build/validate GPU–LPU performance models. Collaborate across inference, hardware, runtime, compiler, evaluation, and product teams to improve simulation quality and accelerate engineering decisions.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build agentic systems that automate simulation, evaluation, performance analysis, and reporting.
  • •Develop tools to configure experiments, run evaluations, analyze results, identify regressions, and recommend follow-up work.
  • •Analyze inference characteristics of LLMs, reasoning models, coding agents, multimodal models, and agentic harnesses.
  • •Build and validate performance models for GPU, LPU, and heterogeneous GPU–LPU systems.
  • •Automate LPU workflows such as benchmarking, workload characterization, capacity planning, and release qualification.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •5+ years of relevant software development experience.
  • •2+ years of experience building AI agents or AI-backed engineering systems.
  • •Strong experience building AI agents or AI-backed engineering systems.
  • •Experience evaluating AI models or agents and analyzing performance.
  • •MS in Computer Science/Engineering (or equivalent experience).
Experience:5+ years
Education:Master's in Computer Science, Engineering, or a related field
Skills:Analytical thinkingAutomationCollaboration
Tech Stack:PythonLLMsLLMGPULPUInferenceProfilingBenchmarkingSimulationPerformance modelling

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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