1 day ago
Base Salary
$141k - $211k/yr
Responsibilities
- Design, develop, and optimize end-to-end autonomous driving and deep learning models.
- Build scalable machine learning pipelines for data processing, training, validation, and deployment.
- Develop multimodal models using vision, maps, routes, and vehicle context.
- Design behavioral planning, trajectory generation, goal-conditioned driving, and controllable AI planning systems.
- Create evaluation metrics and simulation-based, closed-loop validation frameworks for model quality, safety, and driving performance.
- Investigate failure cases and long-tail scenarios and develop data augmentation, synthetic data, curriculum learning, and self-training approaches.
- Collaborate with perception, planning, simulation, systems, and software engineering teams.
- Contribute technical leadership, publications, patent generation, production deployment, and model optimization on automotive platforms.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field plus 2+ years of relevant engineering experience; or a master’s degree plus 1+ year; or a PhD in a related field.
- Preferred advanced degree 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 preferably 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 ML workflows from data ingestion through deployment.
- Strong software engineering fundamentals, including code quality, version control, testing, and reproducible experimentation.
- Experience with autonomous driving, ADAS, robotics, embodied AI, end-to-end planners, trajectory prediction, motion planning, behavior modeling, or AI planning systems.
- 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.
Benefits
- Competitive annual discretionary bonus program and opportunity for annual RSU grants.
- Competitive benefits package designed to support employees at work, at home, and at play.
- The posting includes an annual base-pay range of $140,800.00 to $211,200.00 for the listed location.
- Qualcomm is an equal opportunity employer and provides reasonable disability accommodations during the application and 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.