VLA Deep Learning Engineer, End-To-End Autonomous Driving

We have  been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. Youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are in need of skilled engineers to join our autonomous driving team to invent, execute, and deploy pioneering end-to-end autonomous driving systems. Our strategy has progressed from AI 1.0  constructing a driver from the ground up  to AI 2.0  training an intelligent agent to drive. This is achieved by developing LLMs, VL

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What we need to see:

PhD or Master's degree with equivalent experience.

8+ years of experience.

Hands-on experience training LLMs/VLMs/VLAs from scratch, or a proven record as a top-tier ML engineer/researcher passionate about autonomous systems.

Strong programming skills in Python and proficiency with major deep learning frameworks. Basic familiarity with C++ for model deployment and integration in safety-critical systems.

Comprehensive grasp of current deep learning structures and improvement methods. Consistent track record of deploying production-grade ML models for self-driving, robotics, or related fields at scale.

Ways to stand out from the crowd:

Experience developing and shipping LLM/VLM/VLA solutions for autonomous vehicles or general robotics products.

Publications, contributions to open-source projects, or victories in competitions connected to LLM/VLM/VLA systems.

Profound comprehension of behavior and motion planning in real-world autonomous vehicle (AV) applica