Join NVIDIA and be part of a team that's constantly reinventing the future of computing. We are at the forefront of artificial intelligence research, requiring massive parallel computation power where NVIDIA GPUs excel. Our "learning machine" culture embraces challenging problems and drives innovation to amplify human creativity and intelligence. You'll contribute to next-generation visual computing, automotive, GPU, and HPC systems, working with high-performance CPU and memory sub-systems, next-gen GPUs, and interconnect fabrics.

This role involves automating performance verification workflows through AI and automation. You will design, develop, and deploy solutions to accelerate verification cycles, enhance coverage, and minimize manual effort.

Key responsibilities include: - Automating verification workflows with AI/ML tools for test case generation, triage, and analysis. - Developing intelligent agents to identify performance regressions and recommend solutions. - Integrating LLM-based assistants for natural-language querying of verification data. - Designing data pipelines for model training and continuous improvement. - Collaborating with verification engineers to prioritize automation efforts. - Establishing metrics to measure automation impact on cycle time, coverage, and productivity. - Staying updated on advanced AI techniques applicable to hardware verification.

We are seeking an engineer with a background in hardware verification or performance validation. A strong foundation in Python is essential, with SystemVerilog/UVM and C/C++ being beneficial.

Essential qualifications: - B.Tech/M.Tech/PhD in Electrical Engineering, Computer Science, or a related field. - Minimum 3 years of experience in hardware verification, performance validation, or EDA tool development. - Proficiency in Python, with familiarity in C/C++, SystemVerilog/UVM. - Hands-on experience with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn) or LLM APIs. - Understanding of performance verification methodologies. - Experience with CI/CD pipelines and infrastructure automation.