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
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
4 days ago
Employment Type
Full Time
Work mode
On Site
Salary
US$140,800–211,200 / year
Experience Level
Senior
Locations
San Diego, United States of America
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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