1 day 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.
- Take ML models and algorithms from experimentation through production on the NVIDIA DRIVE AV platform.
- Develop efficient product code in C++ and incorporate new machine learning techniques to 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.
- At least 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/camera perception and multi-sensor fusion in automotive or related fields.
- Experience with deep learning frameworks such as PyTorch and TensorFlow, plus strong mathematical foundations in machine learning.
- Experience building and sustaining training and metric workflows for large-scale datasets.
- Strong communication, analytical, and problem-solving skills.
- Preferred experience developing and shipping production deep learning models for LiDAR, camera perception, and multi-sensor fusion.
- Preferred familiarity with Transformers, autonomous vehicle or robotics production systems, and model optimization with TensorRT for real-time embedded or automotive inference.
Benefits
- Eligible for equity and benefits.
- Base salary ranges from 184,000 USD to 287,500 USD for Level 4 and from 224,000 USD to 356,500 USD for Level 5, depending on location, experience, and comparable employee pay.
- Applications are accepted at least until October 10, 2026.
- This posting is for an existing vacancy.
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.