Software Engineer - Core Data Infrastructure

Zoox’s Core Data Infrastructure team is looking for a passionate software engineer to support our robot data transmission pipeline at scale across numerous cities. Your contributions will be critical to bringing our service to production. Responsibilities will cover high-bandwidth logging (several GB/min), data offload telemetry, large-scale data transmission and high performance networking.

Great candidates will be comfortable working at our headquarters, in the field at Zoox depots, and occasionally in the vehicles themselves. Candidates will do daily software feature development, while regularly supporting operational teams and network planning with our network operations team. Critical thinking, system design and an architectural mindset will be essential to being successful in this role.

In this role, you will:

• Develop software both on and off the robot to maximize system throughput when transmitting data
• Work with key stakeholders to develop initial data infrastructure required for landing in new cities
• Architect long-term network infrastructure design for permanent robot depots
• Incorporate operational feedback to mature existing offload systems
• Design software for ~100x growth of our fleet to support rapid expansion through the next several years

Qualifications:

• BS in computer science (or related field) or equivalent practical experience
• Strong written communication skills and ability to build consensus across multiple teams
• Strong Python experience and comfort working in a language without automatic memory management (e.g., C or C++)
• Linux systems knowledge: networks, filesystems, devices, etc.
• Experience with a cloud service provider with object storage (eg., AWS S3, Google Cloud Storage)

Bonus Qualifications:

• Familiarity working hands-on with high performance networking and compute (100G+ Networking, WAN networks, high performance server deployment)
• Experience dealing with data volumes at a Petabyte+ scale

$166,000 - $230,000 a year

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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.