Job Description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Machine Learning Engineering

General Summary

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 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 Qualification

Master’s degree or equivalent in Engineering, Information Systems, Computer Science, or related field.

3+ years Systems Engineering, or related work experience in the area of behavior and trajectory prediction.

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

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.

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

Physical Requirements

Frequently transports between offices, buildings and campuses up to ½ mile.

Frequently transports and install equipment up to 5 lbs.

Performs required tasks at various heights (e.g. standing or sitting).

Monitors and utilizes computers and test equipment for more than 6 hours a day.

Continuous communication which includes the comprehension of information with colleagues, customers and vendors both in person and remotely.

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 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 Qualification

• Master’s degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
• 3+ years Systems Engineering, or related work experience in the area of behavior and trajectory prediction.
  
  

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
• 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.
• 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
  
  

Physical Requirements

• Frequently transports between offices, buildings and campuses up to ½ mile.
• Frequently transports and install equipment up to 5 lbs.
• Performs required tasks at various heights (e.g. standing or sitting).
• Monitors and utilizes computers and test equipment for more than 6 hours a day.
• Continuous communication which includes the comprehension of information with colleagues, customers and vendors both in person and remotely.
  
  

Education

Minimum Qualifications

Certifications

Work Experiences:

Skills

Preferred Qualifications

Skills

AI Frameworks, Calculus, Data Manipulation, Deep Learning, Machine Learning, Performance Optimization, Python, Statistics

Applicants: If you are an individual with a 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 to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.

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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.

If you would like more information about this role, please contact Qualcomm Careers.