17 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Define and develop metrics for debugging, testing, and evaluating autonomous vehicle software.
- Build data-driven evaluation products using on-road driving analysis, large-scale simulation, models, metrics, and dashboards.
- Develop novel evaluation methodologies for planning and controller algorithms.
- Collaborate with machine learning engineers, infrastructure engineers, roboticists, and the Planning & Control team.
- Develop and drive software testing strategies.
Requirements
- MS, PhD, or equivalent experience in data science, electrical, mechanical, aerospace engineering, physics, computer science, or a similar field.
- 8+ years of experience in software engineering, data science, and/or experiment design roles.
- High proficiency in Python and associated libraries including Pandas, NumPy, SciPy, and Matplotlib.
- Familiarity with Git and Linux, Ubuntu, or another Unix-based system.
- Ability to ramp up quickly on new technical domains and manage multiple priorities.
- Strong organizational and interpersonal skills.
- Preferred experience includes on-board planning algorithms, metrics for autonomous vehicle robotics systems, precision and recall evaluation, C++, large monorepos, Bazel, vehicle simulation, path planning, vehicle control, Drive-by-Wire systems, and self-driving technologies.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors, with listed ranges for Level 4 and Level 5.
- Applications will be accepted at least until November 3, 2026.
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.