Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > ADAS R&D Systems
General Summary:
Hiring Location could be Santa Clara; Seattle, San Diego; Philadelphia; Michigan
At Qualcomm, we are transforming the automotive industry with our Snapdragon Digital Chassis and building the next generation software defined vehicle (SDV).
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.
This is a leadership role, where the ideal candidate has a breadth of experience leading multiple, interdisciplinary teams across algorithm development and system design, software architecture and mapping to embedded ADAS hardware. Candidates would collaborate with multiple departments and 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 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 testingExperience with simulators for automated drivingExperience with vehicle path planning techniques, including numerical optimization, graph search, and modern data-driven, AI-based approaches to decision makingPrincipal Duties and Responsibilities:
Provides leadership and works together with other senior leads, to effectively operate the Automotive Vehicle Guidance departmentApplies 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.
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Pay range and Other Compensation & Benefits:
$167,000.00 - $251,000.00The 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 – and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.