Qualcomm
Senior Machine Learning Engineer – End-to-End Autonomous Driving
$141K–$211K
San Diego, California · On-site · Senior · Full-time · Posted Oct 23, 2026
- Experience
- Bachelor's: 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience; master's: 1+ year; PhD: no experience specified. Preferred: 5+ years in relevant industry or research.
- Education
- Bachelor's, master's, or PhD in Computer Science, Engineering, Information Systems, or a related field. Preferred master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, Artificial Intelligence, or a related field.
About the job
Develop and deploy end-to-end autonomous driving machine learning systems that convert multimodal sensor inputs into safe driving behavior.
What you'll do
- Design and optimize autonomous driving models, behavioral planners, and trajectory-generation systems.
- Build scalable training, validation, deployment, simulation, and closed-loop evaluation pipelines.
- Investigate failure cases and improve model robustness, safety, and driving performance.
What they ask for
- Bachelor's degree in a related field and 2+ years of related work experience; or master's degree and 1+ year; or PhD in a related field.
- Preferred qualifications include strong programming skills in Python, PyTorch, and C++.
Nice to have
- 5+ years of industry or research experience in machine learning, deep learning, computer vision, robotics, or autonomous driving.
- Experience with autonomous driving or robotics, end-to-end planners, simulation, reinforcement learning, or model optimization.
Pay
$140,800.00 - $211,200.00 USD base salary
Tools
Python, PyTorch, C++, ONNX, TensorRT
AI focus
Develop end-to-end autonomous driving models, Vision-Language-Action models, AI driving planners, goal-conditioned policies, and vehicle foundation models; train and evaluate them at scale, with simulation-based safety validation.
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