Architect – AI-Powered Performance Verification Automation

About the role

You will get to work on high performance CPU and Memory sub-systems, Next-Gen GPUs , NOC based Interconnect Fabric etc. Make the choice to join us today. We are looking for a motivated engineer to drive the transformation of performance verification workflows through AI and automation.

What you'll do

• 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

What you need

• 3–6 years in data science & ai
• Machine learning
• Scikit-learn
• LLMs
• ETL
• PyTorch
• TensorFlow
• B.Tech or B.E. or M.Tech or PhD

Good to have

• Python
• Prompt engineering
• C++
• UVM
• C
• Verilog

What you get