Zoox

Fully electric autonomous ride-hailing service platform

Hardware Software Integration Engineer

Hardware Systems IntegrationUpdated on Nov 7

Full-timeFoster City, CA, USA$138k - $180k /yrHybrid

About the Job

Requirements

A BS or MS in Electrical Engineering, Computer Science, or a related field, with at least 2 years of relevant industry experience.
Experience determining the root cause of complex issues involving hardware, firmware, and software.
Experience with hardware interfaces such as Ethernet, CAN, USB, UART, LIN, I2C, and SPI, and related testing and debugging tools.
Familiarity with requirements and test case development.
Fluency in Python or a similar scripting language, Git or other version management tools, and software debugging tools.

Responsibilities

Lead and drive hardware-software issue debugging through resolution by identifying key cross-functional partners and working with them to find root causes and provide resolutions.
Provide feedback to engineering teams to improve future product versions.
Understand vehicle assembly and test requirements and develop test plans and specifications to support manufacturing operations.
Develop test automation and use in-house analysis tools to debug issues, improve test coverage, and enhance test infrastructure.
Develop new processes and human workflows to improve fleet stability.
Support vehicle bring-up and manufacturing operations.
Oversee deployment of next-generation compute, sensor, and data networking systems for autonomous vehicles.

Desired Qualifications

Working knowledge of requirements management tools such as Polarion and JIRA.
Strong electrical engineering fundamentals and familiarity with microcontroller-based systems, high-speed signals, sensing, and power electronics.
Working knowledge of schematic design, PCB layout, and electrical characterization equipment such as oscilloscopes and spectrum analyzers.
Exposure to Failure Mode and Effect Analysis.

Salary Range: 138000 to 180000 (Currency: USD) (Pay period: per-year-salary)

Zoox's Hardware Software Integration team is responsible for ensuring various hardware subsystems work reliably on our vehicle platform on a day-to-day basis. You will oversee the deployment of next-generation compute, sensor, and data networking systems for autonomous vehicles.

This role is essential and fundamental to the execution stage of Zoox's vehicle program, ensuring that hardware systems operate predictably at all times. You will also be responsible for supporting bring-up and manufacturing operations for the vehicle. You will have excellent communication skills and are excited about being the first responder to triage and debug difficult hardware-software integration issues.

In this role, you will:

Lead and drive debugging of hardware-software issues to closure. Identify and work with key cross-functional partners to root cause and provide resolution
Provide feedback to engineering teams to improve future product versions
Understand the vehicle assembly and test requirements and come up with test plans and specifications to support manufacturing operations
Develop test automation, leverage in-house analysis tools to perform debugging and improve test coverage, and enhance test infrastructure
Develop new processes and human workflows to improve fleet stability

Qualifications

BS or MS in Electrical Engineering, Computer Science, or related fields with a minimum of 2+ years of relevant industry experience
Experience and skill in determining the root cause of complex issues involving HW, FW, and SW
Experience with hardware interfaces such as Ethernet, CAN, USB, UART, LIN. I2C, SPI, etc and related testing/debugging tools
Familiarity with requirements and test case development
Fluency in Python or similar scripting language, git/version management tools, SW debugging tool

Bonus Qualifications

Working knowledge of requirements management tools such as Polarion/JIRA
Strong EE fundamentals with familiarity in microcontroller-based systems, high-speed signals, sensing, and power electronics
Working knowledge of schematic design, PCB layout, and electrical characterization equipment (oscilloscopes, spectrum analyzers, etc.)
Exposure to any Failure Mode and Effect Analysis

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 [email protected] 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.

About the Company

Zoox

Fully electric autonomous ride-hailing service platform

Zoox designs and operates an autonomous ride-hailing service built around a purpose-built, fully electric vehicle designed specifically for autonomous operation. The vehicle uses advanced sensors, cameras, and AI to navigate complex urban environments, offering a four-passenger interior for comfort. Unlike competitors that retrofit existing cars, Zoox engineers both the vehicle and the service from the ground up, enabling optimized safety, efficiency, and passenger experience through integrated software that optimizes routing and reduces wait times. The company emphasizes safety through extensive testing and regulatory collaboration, and sustainability via electric mobility. The ultimate goal is to provide a smarter, safer, and more efficient urban transportation system that improves city life while reducing emissions.

Company size: 5,001-10,000
Company stage: Acquired
Total funding: $1.2B
Headquarters: Menlo Park, CA
Founded: 2014

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