Senior ML Engineer: End-to-End Autonomous Driving

QUALCOMM, Inc.; San Diego (CA); On-site; USD 141,000 - 211,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Senior Machine Learning Engineer to join the Autonomous Driving AI team.

You will build end-to-end driving intelligence by developing deep learning systems that map multimodal sensor inputs to safe driving behavior, working at the intersection of ML, autonomous driving, planning, and large-scale training infrastructure. You will collaborate with perception, planning, simulation, and software teams; contribute to production deployment on automotive

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• PhD in Computer Science, Engineering, Information Systems, or related field.

Responsibilities

• Design, develop, and optimize state-of-the-art end-to-end autonomous driving models.
• Build scalable machine learning pipelines for data processing, training, validation, and deployment.
• Develop multimodal deep learning architectures that leverage vision, map, route, and vehicle context information.
• Design and implement behavioral planning and trajectory generation models.
• Develop goal-conditioned driving systems and controllable AI planning frameworks.
• Create robust evaluation methodologies and metrics for measuring model quality, safety, and driving performance.
• Collaborate with perception, planning, simulation, systems, and software engineering teams.

Skills

Python

PyTorch

C++

Deep Learning

Machine Learning

Autonomous Driving

Computer Vision

Reinforcement Learning

Education

Bachelor's degree

Master's degree

PhD

Job description

Qualcomm Technologies, Inc. is seeking a Senior Machine Learning Engineer to join the Autonomous Driving AI team.

You will build end-to-end driving intelligence by developing deep learning systems that map multimodal sensor inputs to safe driving behavior, working at the intersection of ML, autonomous driving, planning, and large-scale training infrastructure. You will collaborate with perception, planning, simulation, and software teams; contribute to production deployment on automotive