2 months ago
Pune, India +2 moreMid Level
Responsibilities
- Build AI/ML-based tools to generate, triage, and analyze hardware performance verification tests and results.
- Develop intelligent agents that detect performance regressions, identify root causes, and recommend corrective actions.
- Integrate LLM-based assistants with verification infrastructure for natural-language querying of results, specifications, and coverage data.
- Design data pipelines to collect, curate, and label verification data for model training and continuous improvement.
- Collaborate with verification engineers to prioritize automation and validate AI-driven solutions.
- Create metrics and dashboards measuring cycle-time reduction, coverage improvement, and engineer productivity.
- Track generative AI, reinforcement learning, and formal-methods techniques applicable to hardware verification.
Requirements
- Bachelor's, master's, 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.
- Strong programming skills in Python; familiarity with C, C++, or SystemVerilog/UVM is a plus.
- Hands-on experience with PyTorch, TensorFlow, scikit-learn, or LLM APIs such as OpenAI, NVIDIA NIM, or NeMo.
- Understanding of benchmarking, profiling, and regression analysis for performance verification.
- Experience with CI/CD pipelines and infrastructure automation.
- Preferred qualifications include applying ML to EDA or verification, RAG architectures, prompt engineering, agentic AI frameworks, NVIDIA GPU/SoC architecture, and published research or patents in AI-for-verification.
Benefits
- Hybrid work arrangement.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.