3 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop scalable simulation platforms and workflows for autonomous driving validation and training.
- Build Real2Sim and Sim2Real domain adaptation technologies for creating diverse simulation scenarios from real-world driving incidents.
- Contribute to system software, distributed infrastructure, neural graphics and rendering, generative AI, synthetic data generation, computer vision, and deep learning.
- Optimize large-scale simulation workflows for performance, scalability, reliability, and production deployment.
- Collaborate with researchers, infrastructure engineers, and product teams.
- Drive technology transfer into production products and contribute to open-source initiatives where applicable.
Requirements
- BS, MS, or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field, or equivalent experience.
- 5+ years of relevant autonomous vehicles industry experience.
- Strong programming skills in Python, C/C++, PyTorch, and Linux/bash scripting.
- Experience with Docker, Bazel, Jenkins, CI/CD pipelines, and distributed systems tooling.
- Strong background in computer vision, deep learning, simulation systems, or related domains.
- Experience in machine learning, large-scale systems, analytics, statistics, or applied mathematics.
- Ability to independently drive complex projects from concept to production.
- Excellent analytical, mathematical problem-solving, communication, collaboration, and teamwork skills.
- Preferred experience includes autonomous driving, robotics simulation, neural rendering, synthetic data generation, generative AI, high-performance or large-scale distributed workloads, research publications, open-source contributions, code competitions, or impactful production systems.
Benefits
- Equity and benefits are provided.
- Applications are accepted at least until October 18, 2026.
- The posting is for an existing vacancy.
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.