Architect – AI-Powered Performance Verification Automation

NVIDIA
India
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Problem-solving","Collaboration","Attention to detail","Continuous learning"]

Drive AI and automation to transform hardware performance verification workflows. Design, develop, and deploy AI/ML tools that generate, triage, and analyze performance test cases and results, and build agents that detect regressions and recommend corrective actions. Integrate LLM-based assistants for natural-language querying, create data pipelines for training and continuous improvement, and work with verification engineers to validate solutions and measure impact with metrics and dashboards.

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FursaFursa
NVIDIA
NVIDIA
1 week ago

Architect – AI-Powered Performance Verification Automation

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Drive AI and automation to transform hardware performance verification workflows. Design, develop, and deploy AI/ML tools that generate, triage, and analyze performance test cases and results, and build agents that detect regressions and recommend corrective actions. Integrate LLM-based assistants for natural-language querying, create data pipelines for training and continuous improvement, and work with verification engineers to validate solutions and measure impact with metrics and dashboards.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Automate verification workflows by building AI/ML-based tools that generate, triage, and analyze performance test cases and results.
  • •Develop intelligent agents to identify performance regressions, root-cause failures, and recommend corrective actions.
  • •Integrate LLM-based assistants into existing verification infrastructure for natural-language querying of results, specs, and coverage data.
  • •Design data pipelines to collect, curate, and label verification data for model training and continuous improvement.
  • •Collaborate with verification engineers to understand pain points, define automation priorities, validate AI solutions, and establish metrics and dashboards to measure impact.

Key Requirements

  • •B.Tech/M.Tech/PhD in Electrical Engineering, Computer Science, or related fields.
  • •3+ years of experience in hardware verification, performance validation, or EDA tool development.
  • •Strong Python programming skills; familiarity with C/C++, SystemVerilog/UVM is a plus.
  • •Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn) or LLM APIs (OpenAI, NVIDIA NIM/NeMo).
  • •Understanding of performance verification methodologies (benchmarking, profiling, regression analysis) and experience with CI/CD and infrastructure automation.
Experience:3+ yearsHardware verificationEDAAI/MLGenerative AILLMsHardware performance validation
Education:
Skills:Problem-solvingCollaborationAttention to detailContinuous learning
Tech Stack:PythonCC++SystemVerilogUVMPyTorchTensorFlowScikit-learnOpenAINVIDIA NIMNeMoLLM APIsCI/CDLangChainCrewAI

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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