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Architect – AI-Powered Performance Verification Automation
NVIDIA
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
AI/ML automationHardware performance verificationPythonPerformance validationMachine learning frameworksLLM APIs
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AI/ML automationHardware performance verificationPython
Role Overview
Drive transformation of hardware performance verification workflows through AI and automation.
Develop solutions that accelerate verification cycles, improve coverage and reduce manual analysis.
Support projects involving CPUs, memory subsystems, GPUs and high-performance computing systems.
Key Skills for This Role
AI/ML automationHardware performance verificationPythonPerformance validationMachine learning frameworksLLM APIs
Full Job Posting
Role overview
Drive transformation of hardware performance verification workflows through AI and automation.
Develop solutions that accelerate verification cycles, improve coverage and reduce manual analysis.
Support projects involving CPUs, memory subsystems, GPUs and high-performance computing systems.
What you will do
- Build AI/ML tools to generate, triage and analyse performance test cases and results.
- Develop agents to identify regressions, find root causes and recommend corrective actions.
- Integrate LLM assistants into verification infrastructure for natural-language data queries.
- Create data pipelines for verification-data collection, curation, labelling and model improvement.
- Partner with verification engineers to validate solutions against real workflows.
- Measure automation impact through cycle time, coverage and productivity metrics.
- Follow relevant advances in generative AI, reinforcement learning and formal methods.
Required qualifications
- B.Tech, M.Tech 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.
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