Senior Software Systems Engineer - Middleware & Diagnostics

This is an opportunity to join the Software Systems Engineering team to participate in building the Zoox robotaxi, the first in the world to operate on public roads. The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.

In this role, you will help introduce and drive the adoption of software development best practices across middleware components, including requirements, architectural design, code quality, and testing strategy; contributing to defining diagnostics strategies and appropriate system reactions to ensure robust, safe, and maintainable operation.

In this role, you will:

• Act as a cross-functional bridge between middleware developers, and safety teams to ensure aligned design decisions and requirements.
• Develop and maintain a holistic architectural view of the middleware stack, including dependencies, interfaces and potential failure paths, for various compute platforms.
• Help evolve and strengthen the middleware and diagnostics architecture by identifying improvement opportunities such as decoupling interdependent components, designing appropriate fault reactions, etc.
• Define and implement component and system level diagnostics strategy, including fault detection, reporting, logging and traceability.
• Analyze fault propagation scenarios across components and help design mitigations that improve system availability and safety.
• Generate and track fault metrics on a regular cadence.

Qualifications:

• B.S./M.S./PhD in Engineering, Physics or relevant field and 7+ years of experience
• Strong experience in middleware, ideally in embedded or distributed systems
• Strong communication skills with the ability to translate architectural and safety considerations into actionable engineering requirements
• Demonstrated ability to apply software engineering best practices
• Experience working in cross-functional environments involving platform, safety and software teams

Bonus Qualifications:

• Hands on experience with design and implementation of diagnostic systems such as health monitoring, fault reduction or logging frameworks
• C++, MATLAB, Python
• Experience on Safety-Critical Systems

$192,000 - $275,000 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.

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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.