Senior Software Engineer, Metrics and Evaluation - Autonomous Vehicles

NVIDIA is seeking an experienced engineer to join its Planning and Control team. The role develops metrics, evaluation methodologies, and data-driven products to support rapid development and testing of autonomous vehicle planning and control software.

Responsibilities:

• Define and develop metrics that enable rapid debugging, testing, and evaluation of our Autonomous Vehicle software
• Build compelling, 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

Requirements:

• MS, or PhD or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science or similar fields
• 8+ years experience working in software engineering, data science, and/or experiment design roles
• Highly proficient in Python and associated libraries (Pandas, Numpy, Scipy, Matplotlib)
• Familiarity programming with GIT in Linux (Ubuntu) or another Unix based system
• Ability and enthusiasm to ramp up quickly on new technical domains
• Ability to multitask and prioritize in a fast paced environment
• Excellent organizational and interpersonal skills
• Experience developing on-board planning algorithms
• Developed metrics for autonomous vehicle robotics systems
• Experience with evaluating precision and recall of performance metrics
• Familiarity with C++
• Experience with working in a large monorepo and with Bazel as well as prior knowledge about vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies