Are you a talented and experienced engineer with a passion for advancing the field of autonomous driving? Do you have a strong background in reinforcement learning and planning algorithms? Look no further! Qualcomm is seeking a Senior/Staff Engineer to join our team and lead the development of cutting-edge technologies for autonomous driving. In this role, you will have the opportunity to work with a highly skilled team and make a real impact on the future of transportation. We are looking for candidates who are passionate, driven, and have a strong background in reinforcement learning, planning and control algorithms, and experience in developing software for autonomous driving. If this sounds like you, we encourage you to apply and be a part of our innovative team at Qualcomm!
Lead the development of cutting-edge technologies for autonomous driving.
Collaborate with a highly skilled team to design and implement reinforcement learning and planning algorithms.
Utilize your strong background in reinforcement learning and planning to drive innovation and advancement in the field of autonomous driving.
Develop and implement software for autonomous driving, ensuring high quality and robustness.
Conduct research and stay up-to-date with the latest advancements in the field of autonomous driving.
Analyze and optimize performance of existing algorithms and continuously improve them.
Take ownership of projects and provide technical guidance and mentorship to junior team members.
Work closely with cross-functional teams including hardware engineers, software developers, and product managers.
Collaborate with external partners and customers to understand their needs and requirements and incorporate them into the development process.
Ensure compliance with industry standards and regulations related to autonomous driving.
Continuously evaluate and adopt new tools and technologies to improve development processes and efficiency.
Proactively identify and troubleshoot any issues or challenges in the development process.
Participate in code reviews and provide constructive feedback to improve code quality.
Communicate project progress and updates to stakeholders and management.
Contribute to patent filings and publications to showcase the innovative work being done at Qualcomm.
Where is this job?
This job is located at San Diego, CA, USA
Job Qualifications
Extensive Experience In Reinforcement Learning And Planning Algorithms: The Ideal Candidate Should Possess A Deep Understanding And Practical Experience In Developing And Implementing Reinforcement Learning And Planning Algorithms For Autonomous Driving Systems.
Strong Programming Skills: A Senior/Staff Engineer Should Have A Strong Background In Programming Languages Such As C++, Python, And Java. They Should Be Able To Write Efficient And Scalable Code To Implement Complex Algorithms.
Knowledge Of Machine Learning And Deep Learning Techniques: The Candidate Should Have A Thorough Understanding Of Machine Learning And Deep Learning Techniques, Such As Neural Networks, And How They Can Be Applied To Autonomous Driving Systems.
Experience In Working With Real-World Data: The Role Requires The Engineer To Work With Large, Complex Datasets From Various Sensors Such As Cameras, Lidars, And Radars. Therefore, Experience In Working With Real-World Data And Developing Data Processing Pipelines Is Crucial.
Strong Problem-Solving And Analytical Skills: A Senior/Staff Engineer Should Possess Excellent Problem-Solving And Analytical Skills To Develop Innovative Solutions To Complex Challenges In Autonomous Driving. They Should Be Able To Think Critically And Troubleshoot Issues Effectively.
Required Skills
Data Analysis
Machine Learning
Deep Learning
Computer Vision
Algorithm Development
Sensor Fusion
Control Systems
Reinforcement Learning
Neural Networks
Autonomous Driving
Motion Planning
Object
Soft Skills
Communication
Conflict Resolution
Leadership
Time Management
Creativity
Flexibility
Teamwork
Adaptability
Problem-Solving
Empathy
