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Job Area:
Engineering Group, Engineering Group > ADAS R&D Systems
Job Description
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 smart, innovative and motivated individuals with strong theory background in deep learning, advanced signal processing, probability & algorithms and good implementation skills in python/C++. Job responsibilities include design and development of novel algorithms for solving complex problems related to behavior prediction for autonomous driving, including trajectory and intention prediction. Develop novel deep learning models to predict trajectories for road users and optimize them to run-in real-time systems. Work closely with sensor fusion and planning team on defining requirements and KPIs. Work closely with test engineers to develop test plans for validating performance in simulations and real-world testing.
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 + 2 years industry experience in behavior and trajectory prediction
Proficient in variety of deep learning models like CNN, Transformer, RNN, LSTM, VAE, GraphCNN etc
Experience working with NLP Deep Learning Networks
Proficient in state of the art in machine learning tools (pytorch, tensor flow)
3+ years of experience with Programming Language such as C, C++, Python, etc.
3+ years Systems Engineering, or related work experience in the area of behavior and trajectory prediction.
Experience working with, modifying, and creating advanced algorithms
Analytical and scientific mindset, with the ability to solve complex problems.
Experience in Autonomous driving, Robotics, XR/AR/VR
Experience with robust software design for safety-critical systems
Excellent written and verbal communication skills, ability to work with a cross-functional team
Principal Duties and Responsibilities:
• Leverages advanced knowledge and experience of ADAS Systems to research, design, develop, and test highly complex systems and algorithms that enable autonomous and self-driving vehicles.
• Develops and enhances highly critical technologies for camera perception; high precision localization; radar perception and lidar perception; precise sensor synchronization and calibration; multi-sensor fusion; estimation and tracking of static and dynamic objects in the environment; behavior prediction of agents; planning of autonomous vehicle decisions, trajectory and speed; and/or autonomous vehicle control.
• Designs innovative AI algorithms for autonomous driving use cases and understands constraints for mapping to embedded ADAS hardware.
• Develops innovative or patentable ideas for complex challenges; designs relevant experiments and implements solutions.
• Facilitates collaboration across organizations (e.g., SW, Test engineers, etc.) for component and end to end testing
• Writes detailed technical documentation and descriptions of research findings for complex projects to ensure engineers can implement research; reviews technical documentation for junior engineers.
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
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