Principal Prediction and Planning Machine Learning Engineer - Autonomous Vehicles
Description For Principal Prediction and Planning Machine Learning Engineer - Autonomous Vehicles
NVIDIA is seeking an experienced Principal Machine Learning Engineer to join their Autonomous Vehicle team, focusing on developing cutting-edge features for their autonomous driving platform. This role combines prediction, planning, and control problems using advanced machine learning techniques. The position requires deep expertise in machine learning, particularly in deep neural networks and autonomous vehicles.
The role involves leading the development of innovative ML solutions for NVIDIA's next-generation automotive products. You'll be working at the intersection of computer vision, graphics, and machine learning, developing solutions that will shape the future of autonomous vehicles. The position offers an opportunity to work with state-of-the-art technology in AI and automation at a company that's leading the revolution in accelerated computing.
As a Principal Engineer, you'll be responsible for researching and implementing deep-learning methods, leading experiments with real-world data, and collaborating with system software engineers to deploy production-ready ML models. The role requires exceptional leadership skills and a proven track record in innovation, particularly in ML-based planning solutions.
NVIDIA offers a competitive compensation package with a base salary range of $272,000 - $425,500 USD, plus equity and benefits. The company is at the forefront of the AI revolution, powering breakthroughs in various fields from image classification to autonomous vehicles. This is an opportunity to join a company that's transforming industries through AI and accelerated computing technology.
The ideal candidate will have 15+ years of experience building ML systems for autonomous vehicles, deep understanding of LLMs and transformers, and excellent mathematical foundations in machine learning. This role is perfect for someone who wants to lead the development of next-generation autonomous vehicle technology while working with cutting-edge AI and ML systems.
Responsibilities For Principal Prediction and Planning Machine Learning Engineer - Autonomous Vehicles
- Research, implement, and evaluate deep-learning-based methods for prediction and planning for NVIDIA's Autonomous Vehicle products
- Lead, Design, run, and analyze experiments and testing to evaluate solutions on real-world data
- Partner with system software engineering specialists to ship industrial strength ML models
- Communicate and collaborate with multi-functional teams
Requirements For Principal Prediction and Planning Machine Learning Engineer - Autonomous Vehicles
- BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields
- 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
- Deep understanding of large language models (LLM) and transformers
- Hands on experience building large scale production ML systems and deploying them at scale
- Excellent leadership and track record for innovation
- Experience with deep neural network (DNN) training, inference and optimization in leading frameworks
- Excellent understanding of the mathematical foundations of machine learning and deep learning
Benefits For Principal Prediction and Planning Machine Learning Engineer - Autonomous Vehicles
- Equity
- Company Benefits Package
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