Senior Machine Learning Engineer, Perception - Autonomous Driving
$184k - $357k • US, CA, Santa Clara
Posted 13d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV, focusing on solving complex problems for self-driving cars. We are seeking experienced Machine Learning Engineers with expertise in computer vision, LiDAR & camera perception, multi-sensor fusion, and AI infrastructure. The role involves inventing human-level AI for perception under real-world conditions, contributing to a defining technological advancement of our generation.
Responsibilities
- Design, train, and optimize machine learning models for LiDAR/camera perception and multi-sensor fusion.
- Develop and manage entire ML workflows, including data pipelines, model training, and performance monitoring.
- Productize ML models and algorithms, developing efficient C++ code for the NVIDIA DRIVE AV platform.
- Stay updated on the latest machine learning developments and incorporate techniques to improve platform performance.
- Collaborate with cross-functional teams to translate complex ideas into 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 in ML for lidar/camera perception and multi-sensor fusion in automotive or related fields.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of ML mathematical foundations.
- Experience building and sustaining training and metric workflows for large-scale datasets.
- Excellent communication and analytical skills, with a self-motivated drive to solve hard problems.
Benefits
- Equity
- Benefits