Autonomous Driving Research Engineer — Control
Qualcomm Technologies, Inc.
Corporate Research & Development at http://www.qualcomm.com/about/research
Engineering – Systems
Pennsylvania – Philadelphia
For more than a decade, Qualcomm Technologies has been bringing innovative technologies and comprehensive solutions to the automotive industry. Qualcomm Technologies’ leadership position in smart connectivity, infotainment, and cluster systems is built on developing a thorough, full scale, system-based approach of solving the problem versus merely providing a piece of silicon. Now we are ready to repeat the same success in autonomous driving with the Snapdragon Ride Platform.
Snapdragon Ride aims to address the complexity of autonomous driving and ADAS by leveraging its high-performance, power-efficient hardware, industry-leading artificial intelligence (AI) technologies and pioneering autonomous driving stack to deliver a comprehensive, cost and energy efficient systems solution. The unique combination of Snapdragon Ride SoCs, accelerator, and autonomous stack offers automakers a scalable solution designed to support three industry segments of autonomous systems, namely L1/L2 Active Safety ADAS for vehicles that include automatic emergency braking, traffic sign recognition and lane keeping assist functions; L2+ Convenience ADAS for vehicles featuring Automated Highway Driving, Self-Parking and Urban Driving in Stop-and-Go traffic; and L4/L5 Fully Autonomous Driving for autonomous urban driving, robo-taxis and robo-logistics.
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.
At Qualcomm Research Philadelphia, we are looking for talented research engineers to join our autonomous driving team. We work collaboratively with Qualcomm teams across the world to address the challenges discussed above. Our state-of-the-art facilities are located within the Pennovation Works, a collaborative campus for technology, design, art, engineering, and medicine.
We are looking for a research engineer to join our vehicle control team. In this role, you will:
+ Generate innovative ideas to address technical challenges in modeling, estimation, and control for autonomous driving
+ Research perception-based and map-based automotive control strategies
+ Design and implement safety-critical control algorithms for full self-driving vehicles
+ Analyze data from simulation and real-world testing to evaluate system performance
+ Debug complex issues involving software components distributed across multiple processors interacting with sensors and physical actuators
+ Work closely and build relationships with experts in robotics, AI, and machine learning
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
+ Bachelor’s in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
+ 2+ years experience programming with C+Preferred Qualifications
+ Master’s or Doctorate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
+ 4+ years experience programming with C++ 2+ years experience programming with Python
+ 2+ years experience programming with MATLAB
+ Experience with Robot Operating System (ROS)
+ Experience with software configuration management
+ Experience working with, modifying, and creating advanced algorithms
+ Experience with robust software design for safety-critical systems
+ Experience with autonomous systems in one or more of the following areas: vehicle control systems, modeling, planning under uncertainty, decision-making, tracking and prediction, perception, localization, estimation, and machine learning
+ Advanced knowledge of classical, linear, and nonlinear control theories
+ Advanced knowledge of automotive dynamics and control strategies
+ Experience with system identification methods
+ Experience with high-fidelity simulation of dynamic systems in virtual worlds
+ Exposure to multi-modal sensor fusion for localization and dynamic object tracking
+ Exposure to deep learning for robotics
Required: Bachelor’s in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
Preferred: Master’s or Doctorate in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field
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.
Who is Qualcomm, and what do we do? We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—invent mobile technology breakthroughs.