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Job Information

Qualcomm Sr Staff AI Planner in Santa Clara, California

Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group > ADAS R&D Systems

General Summary:

This is a lead role to drive innovate AI algorithms for automated driving, research the role of end to end AI systems vs modular stack architecture, develop new AI planner taking into account safety concepts and constraints for mapping to embedded ADAS hardware. Collaborates with multiple disciplines across Qualcomm to lead innovation across the industry.

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.

OR

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

OR

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.

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.

Qualcomm is an equal opportunity employer and supports workforce diversity.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification

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