Nvidia

Architect – AI-Powered Performance Verification Automation

Nvidia
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2 days ago
Pune, India +2 moreMid Level
H1B Sponsor

Responsibilities

  • Build AI/ML-based tools to generate, triage, and analyze hardware performance verification tests and results.
  • Develop intelligent agents that detect performance regressions, identify root causes, and recommend corrective actions.
  • Integrate LLM-based assistants with verification infrastructure for natural-language querying of results, specifications, and coverage data.
  • Design data pipelines to collect, curate, and label verification data for model training and continuous improvement.
  • Collaborate with verification engineers to prioritize automation and validate AI-driven solutions.
  • Create metrics and dashboards measuring cycle-time reduction, coverage improvement, and engineer productivity.
  • Track generative AI, reinforcement learning, and formal-methods techniques applicable to hardware verification.

Requirements

  • Bachelor's, master's, or PhD in Electrical Engineering, Computer Science, or a related field.
  • At least 3 years of experience in hardware verification, performance validation, or EDA tool development.
  • Strong programming skills in Python; familiarity with C, C++, or SystemVerilog/UVM is a plus.
  • Hands-on experience with PyTorch, TensorFlow, scikit-learn, or LLM APIs such as OpenAI, NVIDIA NIM, or NeMo.
  • Understanding of benchmarking, profiling, and regression analysis for performance verification.
  • Experience with CI/CD pipelines and infrastructure automation.
  • Preferred qualifications include applying ML to EDA or verification, RAG architectures, prompt engineering, agentic AI frameworks, NVIDIA GPU/SoC architecture, and published research or patents in AI-for-verification.

Benefits

  • Hybrid work arrangement.

Tech Stack

CC++PythonPyTorchscikit-learnTensorFlow
Nvidia

About Nvidia

10,000+ employees

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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