← All roles

Architect – AI-Powered Performance Verification Automation

NVIDIA· Architect
Apply on company site
Hybrid (Bengaluru, India), Hybrid (Gurugram, India), Remote, Hybrid (Hyderabad, India), Hybrid (Pune, India)full-timePosted 1mo ago

About the role

Engineer to drive transformation of performance verification workflows through AI and automation, designing, developing, and deploying solutions to accelerate verification cycles, improve coverage, and reduce manual effort across hardware performance verification lifecycles.

Responsibilities

  • Automate verification workflows by building AI/ML-based tools that generate, triage, and analyse performance test cases and results
  • Develop intelligent agents that can identify performance regressions, root-cause failures, and recommend corrective actions
  • Integrate LLM-based assistants into existing verification infrastructure to enable 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, and validate AI-driven solutions against real-world workflows
  • Establish metrics and dashboards to measure automation impact (cycle time reduction, coverage improvement, engineer productivity)
  • Stay current with state-of-the-art techniques in generative AI, reinforcement learning, and formal methods as they apply to hardware verification

Qualifications

  • B.Tech/M.Tech/PhD in Electrical Engineering, Computer Science, or a related field
  • 3+ years of experience in hardware verification, performance validation, or EDA tool development
  • Strong programming skills in Python; 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)
  • Experience with CI/CD pipelines and infrastructure automation

Skills

Required:PythonML/AI frameworksCI/CDPerformance verification
Nice to have:C/C++SystemVerilog/UVMLLM APIs

Benefits

  • NVIDIA benefits as applicable
  • Remote/work flexibility (as per locations)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA