Behavior and Trajectory Prediction Engineer

Key Skills

AI Robotic systems, Algorithms, C Programming, C++, CNNs, Deep Learning, Effective communication skills, Machine learning techniques, Mechanical, Natural Language Processing (NLP), Python Programming

Job Description

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.

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 + 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.

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 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.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

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.