To advance autonomous driving technology, the full-time Senior Deep Learning Engineer will design, implement, and deploy innovative end-to-end autonomous driving systems, utilizing large-scale models and collaborating with cross-functional teams, with opportunities for remote work.
Key responsibilities:
Design and train large-scale models, including generative, imitation, and reinforcement learning, to enhance planning and reasoning for driving systems Build, pre-train, and fine-tune LLM/VLM/VLA systems for real-world autonomous driving applications Integrate machine learning models with vehicle firmware to ensure production-quality, safety-critical software delivery Required qualifications: Hands-on experience building LLMs, VLMs, or VLAs or a strong coding background in autonomous systems Deep understanding of modern deep learning architectures and optimization techniques Proven record of deploying production-grade ML models for self-driving or robotics applications at scale Strong programming skills in Python and familiarity with C++ for model deployment PhD with 4+ years or MS with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related field
Experience: 5 years required