2 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.
- Collaborate with machine learning, infrastructure, and robotics engineers on novel evaluation solutions.
- Develop and drive software testing strategies with the Planning & Control team.
Requirements
- MS, PhD, or equivalent experience in data science, 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, including Ubuntu or another Unix-based system.
- Ability to learn new technical domains quickly and manage multiple priorities in a fast-paced environment.
- Strong organizational and interpersonal skills.
- Preferred experience includes on-board planning algorithms, autonomous vehicle robotics metrics, 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.
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.