Qualcomm Sr Staff Vehicle Guidance Engineer 

United States, California 

166459870

Job Area:

Engineering Group, Engineering Group > ADAS R&D Systems

Snapdragon Ride is an integral pillar of our Snapdragon Digital Chassis, and since its launch it has gained momentum with a growing number of global automakers and Tier1 suppliers. Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient SoC, industry-leading artificial intelligence (AI) technologies and pioneering vision and drive policy stack to deliver a comprehensive, cost and energy efficient systems solution.

Enabling safe, comfortable, and affordable autonomous driving includes solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior prediction, maneuver planning, and trajectory planning and control, each one of these functions introduces its own unique challenges to solve, verify, test, and deploy on the road.

We are looking for a lead engineer to help drive autonomous vehicle guidance, bridging disciplines of prediction, planning, and control to enable robust and capable closed loop operation. Candidates should have a strong theory background in algorithm and system design, experience with software such as C++ and Python, and a willingness and drive to push the boundaries of state-of-the-art autonomous planning and control, including advancements in AI.

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 the areas of behavior prediction, behavior planning, vehicle controls, and modern AI techniques

• Experience in autonomous driving or applied robotics domains.

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

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

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

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

• Experience with simulators for automated driving

• Experience with vehicle path planning techniques, including numerical optimization, graph search, and modern data-driven, AI-based approaches to decision making

Principal Duties and Responsibilities:

• Provides leadership and works together with other senior leads, to effectively operate the Automotive 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 planning and decision making under uncertainty, robust control, and the role of modular and end-to-end stack architectures in complex driving scenarios.

• 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