NVIDIA is seeking a skilled professional to join its AV Eval team, which focuses on developing advanced driving behavior evaluation systems using learned evaluation techniques. The role involves bridging machine learning research with production evaluation to enhance vehicle safety and software release decisions. Candidates will work on innovative projects that utilize LLMs, VLMs, and multimodal models. This position offers high ownership and visibility within NVIDIA's AV leadership.

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
• Hands-on experience building LLM/VLM-based pipelines, including fine-tuning and prompt engineering.
• A track record of shipping ML systems to production.
• Strong software engineering fundamentals with proficiency in Python and C++.
• Experience with evaluation methodology such as precision/recall and calibration.

• Design and build learned evaluation pipelines that assess driving behavior using LLMs, VLMs, and multimodal models.
• Develop agentic workflows that chain model inference, retrieval, and structured reasoning to evaluate complex driving scenarios.
• Define evaluation-of-evaluation methodology to ensure the correctness of learned evaluators.
• Build golden-set frameworks and calibration loops for learned metrics.
• Partner with AML teams on model-specific evaluation needs.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.