6 days ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design, train, and optimize machine learning models for LiDAR and camera perception and multi-sensor fusion.
- Develop end-to-end ML workflows covering data pipelines, model training, metrics, performance instrumentation, and reporting.
- Productize ML models and algorithms on the NVIDIA DRIVE AV platform using efficient C++ code.
- Track developments in machine learning and apply techniques that improve platform performance.
- Collaborate with perception teams, developers, engineers, and managers to deliver reliable autonomous-driving solutions.
Requirements
- MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of relevant industry experience applying machine learning to real-world problems.
- Strong C++ and Python programming and debugging skills for large, complex systems.
- Deep practical experience with LiDAR or camera perception and multi-sensor fusion in automotive or related fields.
- Experience with deep learning frameworks such as PyTorch and TensorFlow and strong mathematical foundations in machine learning.
- Experience building and sustaining training and metrics workflows for large-scale datasets.
- Excellent communication, analytical, and problem-solving skills.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay; the posting lists Level 4 and Level 5 salary ranges.
- Applications accepted at least until September 4, 2026.
Categories
ML EngineeringRobotics
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.