Principal AI/ML Engineer - Onboard Embodied AI

Principal AI/ML Engineer – Onboard Embodied AI

Master’s or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of modern machine learning techniques
Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications
Proven track record as a technical leader and expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems
Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty
Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX)
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization

Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance
Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation
Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment
Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams
Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems
Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones