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

For our client, we are seeking a Deep Learning Senior Engineer, End-To-End Autonomous Driving to join the team of a leader in the Telecommunications & Hardware space. This role will focus on advancing large-scale AI systems that support planning, reasoning, and real-world autonomy in driving applications. You will work across model development, data strategy, and production deployment to help improve safety-critical performance at scale. The position also involves close collaboration with cross-functional teams to integrate machine learning capabilities into embedded vehicle software. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $184,000 – $356,500 annually Responsibilities Design and train large-scale models to enhance planning and reasoning in driving systems. Build, pre-train, and fine-tune LLM, VLM, and VLA systems for real-world applications. Explore novel data generation strategies to improve training dataset quality. Collaborate with cross-functional teams to deploy AI models in production environments. Integrate machine learning models with vehicle firmware for safety-critical software. Qualifications Hands-on experience building LLMs, VLMs, or VLAs from scratch, or strong coding skills 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 at scale. Strong programming skills in Python and proficiency with major deep learning frameworks. Familiarity with C++ for model deployment in safety-critical systems. PhD with 4+ years or MS with 6+ years of relevant experience in Computer Science or a related field. Benefits Equity opportunities. Access to cutting-edge technology and resources. Collaborative work environment with cross-functional teams. Potential for professional growth in a leading tech company. Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.