#3049927
Company:
Qualcomm Korea YH
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
Job Description
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 Qualifications:
Minimum Qualifications
• Bachelor's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 2+ years of Systems Engineering or related work experience.
OR
Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field and 1+ year of Systems Engineering or related work experience.
OR
PhD in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.
Preferred Qualifications:
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to accommodationsupport
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.
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Lactation facilities
Backup child care
Elder care
Care-taking PTO
Paid maternity
Unpaid maternity
Paid paternity
Before there were smartphones or smart cities, before autonomous cars or 360° virtual reality videos, there was our technology. Qualcomm inventions are the foundational technologies that others build upon—inventing new industries and applications that have global impact. From 5G to artificial intelligence, from IoT to automotive and extended reality applications, Qualcomm is inventing the ...