NVIDIA is seeking an experienced engineer to join the Planning and Control team, focusing on metrics and evaluation for Autonomous Vehicle software. The role involves developing novel evaluation methodologies and metrics to enhance planner and controller algorithm development. Candidates will collaborate with machine learning engineers and roboticists to solve complex problems in a fast-paced environment. Creativity and inventiveness are essential as this is an open-ended and unsolved space.

• MS, PhD, or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science, or similar fields
• 5+ years of experience working in software engineering, data science, and/or experiment design roles
• Highly proficient in Python and associated libraries such as Pandas, Numpy, Scipy, and Matplotlib
• Familiarity programming with GIT in Linux (Ubuntu) or another Unix-based system
• Excellent organizational and interpersonal skills

• Define and develop metrics that enable rapid debugging, testing, and evaluation of Autonomous Vehicle software
• Build data-driven evaluation products by combining on-road driving analysis, large scale simulation, models, metrics, and dashboards
• Collaborate with machine learning engineers, infrastructure engineers, and roboticists to develop novel solutions to open-ended problems
• Work with the Planning & Control team to develop and drive software testing strategies

• 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.