Hybrid Staff Behavior Planning Software Engineer bei Xpeng motors
Xpeng motors · San Diego, CA, Vereinigte Staaten Von Amerika · Hybrid
- Optionales Büro in San Diego, CA
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Design and implement state-of-art rule-based and model-based Behavior-Planning and Motion-Planning algorithms for our autonomous driving system, including urban-driving, highway-driving, driving in unstructured areas and parking
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Test, debug, optimize and satisfy business requirements for our autonomous driving systems
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Work with multi-discipline engineering team on HW/SW integration
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MS./Ph.D. in Computer Science/Electrical Engineering/Mechanical Engineering/Robotics or related disciplines and minimum 3-5 + years of software engineering experiences
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Deep knowledge of optimization and mathematics
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Excellent programming skills and knowledge of C/C++
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Prior autonomous driving stack algorithm development experience, e.g. in the field of prediction, planning, parking etc.
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Non-linear optimization and quadratic optimization theory
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Background in autonomous driving is strongly preferred
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Background in machine learning is preferred
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Training/development experience of model-based perception/planning modules
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Fluent Python skills and knowledge is preferred
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Able to learn quickly and adapt to fast business iteration
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Excellent written and oral communication skills
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A fun, supportive and engaging environment
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Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
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Opportunity to work on cutting edge technologies with the top talent in the field
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Competitive compensation package
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Snacks, lunches and fun activities