1 day ago
Base Salary
$224k - $357k/yr
Responsibilities
- Design end-to-end prediction and autonomous-vehicle stack solutions using machine learning techniques.
- Develop innovative deep learning models, including end-to-end models, for multimodal and scene-consistent prediction.
- Create generalizable approaches for diverse operational design domains and country or region expansion.
- Partner with data collection and labeling teams to prioritize data, improve labeling efficiency, and maximize data value.
- Use data simulation and augmentation to address extreme driving scenarios.
- Productize prediction solutions to meet safety, latency, and software robustness requirements.
Requirements
- PhD with 6+ years, MS with 10+ years, or BS or equivalent experience with 12+ years in Computer Science, Computer Engineering, or a related technical field.
- Hands-on experience developing deep learning and algorithms for sophisticated real-world problems.
- Proficiency with deep learning frameworks such as PyTorch.
- Strong programming skills in Python and/or C++.
- Experience with data-driven development and collaboration with data and ground-truth teams.
- Strong communication and teamwork skills.
- Preferred qualifications include autonomous driving or robotics ML expertise, embedded deployment of DNN-based solutions, technical publications, Transformers, BEV architectures, E2E ML systems, and more than 2 years of technical leadership experience.
Benefits
- Base salary range is 224,000 USD to 356,500 USD, with eligibility for equity and benefits.
- Applications will be accepted at least until October 20, 2026.
Categories
ML EngineeringRobotics
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.