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.

Work arrangement
Yes