Applied Research Engineer, Chip Design

NVIDIA
United States
Workplace: HybridFull timeUSD 192,000 - 356,500 annuallyFunction: Research & Scientific (R&D)Experience: 8+ yearsEducation: mastersSkills: ["Self-motivation","Creativity","Collaboration","Communication"]

Apply LLMs, coding agents, and agentic AI to real ASIC design problems, including RTL generation, design and formal verification, and PPA prediction and optimization. Build robust data generation (including synthetic data) and rigorous evaluation to determine what to automate next. Integrate agents into EDA and validation workflows, improve model performance with domain data, and deliver faster chip-design execution against internal schedules.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Applied Research Engineer, Chip Design

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Last checked: 2 hours agoStatus: Live

Job Summary

Apply LLMs, coding agents, and agentic AI to real ASIC design problems, including RTL generation, design and formal verification, and PPA prediction and optimization. Build robust data generation (including synthetic data) and rigorous evaluation to determine what to automate next. Integrate agents into EDA and validation workflows, improve model performance with domain data, and deliver faster chip-design execution against internal schedules.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Apply LLMs, coding agents, and agentic systems to core ASIC design problems, including RTL generation, design and formal verification, and PPA prediction and optimization.
  • •Advance hands-on work with RL and post-training (RLHF/RLAIF), evaluation, graders, and synthetic data to build working production ML systems.
  • •Build robust data generation and evaluation methodology to separate working systems from demos and decide what to automate next.
  • •Integrate coding agents and agentic AI into EDA and validation flows (simulation, regressions, waveform/log analysis, and script generation) to cut ramp time.
  • •Partner with the Nemotron team to improve models using domain-specific data, feedback, and post-training, feeding ASIC-design expertise back into the models.

Pay and Benefits

Salary: USD 192,000 - 356,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •MS or PhD (or equivalent) in Computer Science, Electrical/Computer Engineering, or a related field.
  • •8+ years of proven industry experience.
  • •Domain expertise in front-end ASIC (design, verification, timing) plus experience applying agentic AI to chip design and optimization problems.
  • •Hands-on experience building LLM-based agents or AI tooling, including context engineering, tool integration, orchestration, and evaluation.
  • •Experience with custom model training, fine-tuning, or post-training (SFT, RLHF/DPO) on proprietary technical data.
Experience:8+ years
Education:Master's
Skills:Self-motivationCreativityCollaborationCommunication
Tech Stack:LLMsCoding agentsAgentic AIRLRLHFRLAIFSynthetic dataModel trainingEvaluationEDARTL generationFormal verificationSimulationRegressionsWaveform analysisLog analysisScript generationDockerSlurmCI/CD

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
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Glassdoor: 4.3
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