2 days ago
Base Salary
$141k - $211k/yr
Responsibilities
- Design, develop, and optimize end-to-end autonomous driving and multimodal deep learning models.
- Build scalable machine learning pipelines for data processing, training, validation, deployment, and model optimization.
- Develop behavioral planning, trajectory generation, goal-conditioned driving, and controllable AI planning systems.
- Create evaluation metrics and closed-loop simulation frameworks for model quality, safety, driving performance, and long-tail scenarios.
- Develop data augmentation, synthetic data generation, curriculum learning, and self-training approaches.
- Collaborate with perception, planning, simulation, systems, and software engineering teams.
- Contribute to technical innovation, publications, patents, and production deployment on automotive platforms.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field plus 2+ years of related work experience; alternatively, a master's degree plus 1+ year or a PhD in a related field.
- Preferred master's or PhD in Computer Science, Electrical Engineering, Robotics, Machine Learning, Artificial Intelligence, or a related field.
- Preferred 5+ years of industry or research experience in machine learning, deep learning, computer vision, robotics, or autonomous driving.
- Strong programming skills in Python, PyTorch, and preferred C++.
- 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 and building end-to-end ML workflows from data ingestion through deployment.
- Experience with autonomous driving, ADAS, robotics, embodied AI, end-to-end planners, trajectory prediction, motion planning, or behavior modeling.
- Experience with reinforcement learning, imitation learning, self-supervised learning, simulation, and closed-loop evaluation frameworks.
- Familiarity with ONNX, TensorRT, distributed training, and model optimization techniques.
- Publications at top-tier conferences or experience filing patents and developing novel machine learning technologies is preferred.
Benefits
- Annual pay range is $140,800.00-$211,200.00, with a competitive annual discretionary bonus program and potential annual RSU grants.
- Competitive benefits package supporting employees at work, at home, and at play.
- Qualcomm is an equal opportunity employer and provides reasonable disability accommodations during the hiring process.
Categories
ML EngineeringRobotics
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.