Qualcomm Sr Staff AI Planner 

United States, California 

773717559

Job Area:

Engineering Group, Engineering Group > ADAS R&D Systems

Minimum Qualifications:

• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 6+ years of Systems Engineering or related work experience.

Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 5+ years of Systems Engineering or related work experience.

PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 4+ years of Systems Engineering or related work experience.

Preferred Qualifications:

• Ph.D. , 5+ years industry experience in behavior prediction, behavior planning and end-to-end AI systems.

• Experience leading technical teams to deliver complete end-to-end solutions, including requirements/architecture/design, implementation and testing

• Experience in data driven planning approaches like deep reinforcement learning, behavioral cloning, offline RL, MCTS, etc.

• Experience with simulators for automated driving

• Proficient in variety of deep learning architectures like CNN, RNN, Transformers and other generative AI models.

• Experience designing, training, analyzing, evaluating, and deploying neural networks with PyTorch or other deep learning frameworks.

• 5+ years of experience with programming languages such as Python, C++ etc.

• Experience in autonomous driving or applied robotics domains.

• Analytical and scientific mindset, with the ability to solve complex problems along with passion to take research ideas to production.

• Experience with robust software design for safety-critical systems.

Principal Duties and Responsibilities:

• Provides leadership and works together with other senior leads, to effectively operate vehicle guidance department

• Applies knowledge of ADAS Systems to develop and enhance technologies for autonomous driving.

• Researches and develops novel algorithms to solve difficult problems related to behavior planning under uncertainty, role of end to end AI approaches vs modular stack architecture especially in complex semi-structured/unstructured urban ODD, and developing corresponding safety concepts.

• Designs driving policies for complex maneuvers in urban environments with many other agents.

• Implements ideas in software (Python and C++) and collaborates with software engineers on development.

• Works closely with test engineers to develop test plans to validate performance in simulations and real-world testing.

• Networks with cross-functional teams and leverages other resources to acquire knowledge of ADAS industry trends, and advances in the field.

• Writes detailed technical documentation and descriptions of research findings for projects to ensure engineers can implement research.

Level of Responsibility:

• Works independently with minimal supervision.

• Provides supervision/guidance to other team members.

• Decision-making is significant in nature and affects work beyond immediate work group.

• Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

• Has a great degree of influence over key organizational decisions.

• Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range:

$167,000.00 - $251,000.00