Nvidia Deep Learning Engineer End-To-End Autonomous Driving 

China, Beijing, Beijing 

594556745

What You’ll be doing:

• Design and train innovative large-scale models, including generative, imitation and reinforcement learning approaches to enhance the planning and reasoning capabilities of our driving systems.

• Explore and implement novel data generation and data collection strategies to improve the diversity and quality of the training datasets.

• Collaborate with cross-functional teams to deploy AI models in production environments, ensuring they meet stringent standards for performance, safety, and reliability.

• Integrate machine learning models directly with vehicle firmware and deliver production-quality, safety-critical software.

What we need to see:

• Deep understanding of modern deep learning architectures and optimization techniques.

• Proven track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

• Master's degree or PhD (or equivalent experience).

• 5+ years of work experience in AV or related field.

• Strong programming skills in Python and proficiency with major deep learning frameworks.

• Familiarity with C++ for model deployment and integration with the safety-critical autonomous driving stack.

Ways to stand out from the crowd:

• Hands-on experience in large generative models’ pre-training and fine-tuning.

• Deep understanding of behavior and motion planning in real-world applications.

• Experience in building and training industry-level large datasets and models.

• Proven ability to optimize algorithms for real-time performance in resource-constrained systems.

• Strong track record of taking projects from conceptualization to production deployment.