Embedded Software Engineer - Body Systems
@ ZooxEmbedded Software Engineer - Body Systems
About the job
Zoox develops autonomous vehicles and mobility solutions, focusing on robotics, machine learning, and design to create seamless, automated urban transport experiences. We seek passionate talent to join our innovative, fast-paced team.
Requirements
- Strong C++/C programming skills
- Experience with embedded micro-controllers
- Real-time embedded systems experience
- Knowledge of sensors, motors, actuators
- Hardware debugging experience
Qualifications
- Bachelor's or Master's in related fields
- 1+ years of embedded software experience
- Understanding of electro-mechanical systems
- Ability to work cross-functionally
Full job description
In this role, you will:
Design, develop, and test embedded software for body, thermal, lighting, and door functions of the Zoox vehicle
Create software requirements, design documentation, test plans, and other supporting documentation
Work cross-functionally with vehicle engineers, controls engineers, electrical engineers, validation engineers, and other experts to ensure a seamless and highly-automated experience for the Zoox vehicle
Integrate supplier sub-systems into the Zoox software stack
Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation
Qualifications
Bachelor's or Master's degree in Electrical and Computer Engineering, Robotics, Computer Science or equivalent experience
1+ years of experience developing real-time embedded software for distributed electro-mechanical systems
Strong C++/C programming experience and object oriented programming
Experience with embedded micro-controllers and/or microprocessors (ARM, PowerPC or equivalent)
Understanding of various sensors, motors, actuators
Hands-on experience with hardware bring-up and system debugging
Bonus Qualifications
Basic knowledge of control systems for electromechanical systems
Experience with CAN, LIN analysis, and debugging tools (PCAN, CANalyzer, CANape, etc.)
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