Software Engineer - C++ On-Vehicle Data

Job Description

Job Description

 

Shipping the software that powers Zoox’s autonomous vehicles is an extremely challenging job. As a Software Engineer on the Core Data team, you will help build the foundational systems that capture, persist, move and retrieve the critical data generated by our fleet of robots.

Our systems connect real-time vehicle software with the engineering and operational workflows requiring fleet data. This includes making critical data available for development, validation, fleet operations, incident investigation, and continuous improvement of the autonomous driving stack.

You will tackle complex challenges involving high-speed data, constrained compute & storage resources, multi-host architectures, and fault-tolerant design. This role combines hands-on implementation and systems-level problem solving with opportunities to influence the long-term architecture of Zoox’s vehicle data systems. You will collaborate across the organization to define requirements and deliver practical, reliable solutions to ambiguous cross-functional problems.

 

In this role, you will:

• Contribute to the technical architecture and implementation of Zoox’s on-vehicle data systems
• Design and develop reliable, high-performance systems for capturing, storing, retrieving, and transmitting vehicle data with strict real-time and resource constraints
• Own complex technical problems from initial investigation through design, implementation, validation, and rollout
• Collaborate across teams through requirements definition, design reviews, and code reviews 

Qualifications:

• Bachelor’s degree in computer science, engineering, mathematics, or a related field and 3+ years of professional software development experience
• Strong proficiency in modern C++
• Experience with multithreading, concurrency, inter-process communication, or networking
• Strong problem-solving skills and the ability to investigate issues across multiple software and hardware layers
• Ability to communicate technical ideas clearly and collaborate effectively across teams 

Bonus Qualifications:

• Experience with robotics, autonomous vehicles, or other distributed real-time systems
• Familiarity with filesystems, storage hardware, or high-throughput data systems
• Experience with performance analysis and profiling

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on us.fitly.work 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.