Senior Machine Learning Engineer - Automotive

Overview

• Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction.
• Today, a self-driving vehicle powered by AI can meander through a country road at night and find its way.
• NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots, and self-driving vehicles that can perceive and understand the world.
• Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV.
• We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, and AI infrastructure who are passionate about solving the hardest problems for self-driving cars.
• Are you interested in inventing human-level AI for perception under real world conditions? If so, join us! What You'll Be Doing: Model Development: Design, train, and optimize innovative machine learning models for LiDAR/camera perception (e.g., object detection/classification, semantic segmentation, tracking).
• Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
• Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to product level on the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.
• Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance.
• Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.
• What We Need to See: MS in Computer Science, Engineering, or a related field, or equivalent experience.
• 6+ years of relevant proven industry experience applying machine learning to address real-world problems.
• Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
• Deep practical experience applying machine learning to lidar/camera perception in automotive or related fields.
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.
• Building and sustaining training and essential metric workflows for large-scale datasets.
• Excellent communication and analytical skills.
• Self-motivated drive to solve hard problems.
• Ways to Stand Out From the Crowd: LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera in a production environment.
• Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.
• AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.
• Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).
• We believe that realizing self-driving vehicles will be a defining contribution of our generation (e.g., traffic accidents are responsible for ~1.25 million deaths per year worldwide).
• We have the funding and scale, but we need your help on our team.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most brilliant and talented people in the world working here.
• If you're creative and autonomous, we want to hear from you!.