Senior Behavior Planning Software Engineer
Posted on 1/6/2024
INACTIVE
XPeng Motors

1,001-5,000 employees

Designs and manufactures intelligent electric vehicles and aircrafts
Company Overview
XPENG stands out as a leader in the tech industry, with its focus on intelligent mobility solutions such as electric vehicles and eVTOL aircraft, demonstrating a competitive edge in the rapidly evolving transportation sector. The company's proprietary Advanced Driver Assistance System (XPILOT) and intelligent operating system (Xmart OS) enhance the user experience by integrating technology and mobility, positioning XPENG as a pioneer in smart, people-first mobility. The company's culture fosters technological advancement, making it an exciting workplace for those passionate about shaping the future of transportation.
Data & Analytics
Robotics & Automation
Hardware
Consumer Software
AI & Machine Learning

Company Stage

N/A

Total Funding

$8.2B

Founded

2014

Headquarters

Guang Zhou Shi, China

Growth & Insights
Headcount

6 month growth

-10%

1 year growth

-7%

2 year growth

17%
Locations
Santa Clara, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
CategoriesNew
Software Engineering
Requirements
  • MS./Ph.D. in Computer Science/ Electrical Engineering or related disciplines
  • Minimum 3+ years of software engineering experiences
  • Deep knowledge of optimization and mathematics
  • Excellent programming skills and knowledge of C/C++
Responsibilities
  • Design and implement state-of-art Behavior-Planning and Motion-Planning algorithms for autonomous driving system
  • Test, debug, optimize and satisfy business requirements for autonomous driving systems
  • Work with multi-discipline engineering team on HW/SW integration
Desired Qualifications
  • Non-linear optimization and quadratic optimization theory
  • Background in autonomous driving is preferred
  • Able to learn quickly and adapt to fast business iteration
  • Excellent written and oral communication skills