Embedded Software Engineer - Body Systems
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- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- USD 137,000–184,000 per-year-salary
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Minimum experience (years)
- 1
“1+ years of experience developing real-time embedded software for distributed electro-mechanical systems”
See matched passage in original description ↓ - Employment type
- Full-time
- Compensation
- USD 137,000–184,000 per-year-salary
7 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
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Original job description
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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.)
About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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