Senior Machine Learning Engineer – End-to-End Autonomous Driving

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

Qualcomm is looking for a Senior Machine Learning Engineer to join their Autonomous Driving AI team in San Diego. You will develop advanced deep learning systems for end-to-end driving intelligence, working on multimodal sensor inputs and safe driving behavior. The role involves building production-grade AI systems and advancing autonomous vehicle technology.

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 leveraging vision, map, route, and vehicle context.
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 model quality, safety, and driving performance.
Develop simulation-based validation and closed-loop evaluation frameworks.
Investigate failure cases and long-tail scenarios to improve model robustness.
Design data augmentation, synthetic data generation, curriculum learning, and self-training approaches.
Collaborate closely with perception, planning, simulation, systems, and software engineering teams.
Drive innovation through new algorithms, technical leadership, publications, and patent generation.
Contribute to production deployment and optimization of machine learning models on automotive platforms.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field.
Strong programming skills in Python, PyTorch, and C++ (preferred).
Deep understanding of Deep Learning, Machine Learning, Neural Network Design, Computer Vision, Transformers, Representation Learning, and Multimodal Learning.
Experience training and evaluating large-scale deep learning models.
Experience building end-to-end ML workflows from data ingestion through deployment.
Strong software engineering fundamentals including code quality, version control, testing, and reproducible experimentation.
Experience in autonomous driving, ADAS, robotics, or embodied AI.
Experience with end-to-end planners and AI planning systems.
Experience with trajectory prediction, motion planning, or behavior modeling.
Experience with reinforcement learning, imitation learning, or self-supervised learning.
Experience building simulation and closed-loop evaluation frameworks.
Familiarity with ONNX, TensorRT, distributed training, and model optimization techniques.

Desired Qualifications

Master's or Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Artificial Intelligence, or a related field.
5+ years of industry or research experience in machine learning, deep learning, computer vision, robotics, or autonomous driving.
Publications at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, or CoRL.
Experience filing patents or developing novel machine learning technologies.

Benefits

Competitive annual discretionary bonus program
Opportunity for annual RSU grants
Highly competitive benefits package designed to support your success at work, at home, and at play

Skills

PythonPyTorchC++Machine LearningDeep LearningComputer VisionTransformersRepresentation LearningMultimodal LearningReinforcement LearningImitation LearningSelf-Supervised LearningONNXTensorRT

#Autonomous Driving#Machine Learning#Deep Learning#AI