Job description

Want to join a fun, creative company that is on the cutting edge of amazing technologies? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting technology areas including Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. We are looking for an experienced engineer to join our Planning and Control team to work on metrics and evaluation. In this role you will enable rapid planner and controller algorithm development by providing critical evaluation products. You will develop novel evaluation methodologies and the metrics needed to power them. This is an open-ended and unsolved space which requires creativity and inventiveness. What you will be doing: • 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 What we need to see: • 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 Ways to stand out from the crowd: • 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. #AutonomousVehicles Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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
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.
#AutonomousVehicles
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonai

Platform: eightfold
Effort: medium