Firmware Engineer Internship/Co-op

2 Months ago • Upto 1 Years

About the job

Job Description

As an intern on the Advanced Hardware Engineering team, you'll be working alongside those who architect, design, develop, and test our state-of-the-art hardware systems required for enabling autonomous mobility, including compute systems, controllers, and sensors. These hardware systems are developed with diverse, interdisciplinary teams that work cohesively with the rest of the company toward a successful product and service launch.

You will be involved in a wide variety of coding at all levels of the embedded software stack, including drivers, middleware, libraries, and applications. You will often be the first person to bring up custom hardware and integrate it with Zoox's software stack. We are excited to find more passionate firmware engineers to develop production-quality code and design a product that meets the high safety requirements needed for autonomous driving! You will be interfacing closely with the electrical, mechanical, and optical engineers designing the hardware, as well as the Perception team for the evaluation of sensors and the Core team for writing and bringing up hardware drivers.

Technical Qualifications & Language Requirements

    • Proficiency in C and/or C++, experience in assembly is a great bonus
    • Experience writing and debugging embedded software, including device drivers
    • Hands-on experience with embedded development kits and/or custom PCB hardware
    • Experience using oscilloscope/logic analyzer
    • Professional and positive communication skills
Compensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.

About Zoox
Zoox 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.


Accommodations
If 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.
Compensation
The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.

About Zoox
Zoox 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.


Accommodations
If 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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About The Company

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

Foster City, California, United States (On-Site)

San Diego, California, United States (Hybrid)

Foster City, California, United States (Hybrid)

Foster City, California, United States (On-Site)

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