Software Development Engineer in Test

Posted 12 Days Ago
Be an Early Applicant
Foster City, CA, USA
Hybrid
161K-220K Annually
Mid level
Artificial Intelligence • Machine Learning • Robotics • Software • Transportation • Design • Manufacturing
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Develop and maintain large-scale software- and hardware-in-the-loop testing frameworks for autonomous vehicle systems. Build CI pipelines, automated regression suites, log-mining tools, and performance dashboards. Lead root-cause analysis, safety requirement gap assessments, fault injection, and validation of safety-critical monitors. The role requires extensive Python development, test automation, Linux and networking knowledge, and collaboration on safety and release sign-off.
Summary Generated by Built In
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. We are seeking a highly motivated Software Development Engineer in Test (SDET) to join the Release Management Team. As a Software Development Engineer in Test on the Release Management team at Zoox, you will help accelerate our software release by ensuring that we are shipping the safest and most reliable software possible. As developers build new features, you will be responsible for developing Hardware-In-Loop tests to support our safety case. These efforts are critical to maintaining our code quality and ensuring our service capabilities are operating as intended. Your ability to understand the overall system design and component interaction to help guide test methodology for functional and safety sign-off is crucial to the overall success of Zoox. Accountability and integrity are core to our team. This role is coding-intensive, focused on building solutions for high-fidelity testing, scalable automation frameworks, and sophisticated data analysis tools to ensure successful compliance to requirements and mission success. 

In this role, you will:

  • Lead the design, development  and maintenance of large-scale event-driven software/hardware -in-the-loop (SIL/HIL) tests and testing frameworks, utilizing advanced software patterns to improve modularity and reduce code duplication.
  • Architect and manage end-to-end continuous integration (CI) pipelines to automate the execution of regression suites.

  • Lead root cause analysis for complex system-level failures, developing log mining scripts and visualization dashboards (e.g., Grafana, SQL-based notebooks) to triage failures and track performance metrics.

  • Perform gap analyses between high-level safety requirements and technical test implementations, including the development of intricate timing and prioritization patterns. Lead end-to-end validation and clearance process for safety-critical monitors, such as for collision detection systems.

Qualifications:

  • Bachelor's or higher degree in Mechatronics Engineering, Computer Science, Electrical Engineering or a relevant technical field.

  • 4+ years of experience with demonstrated ownership of complex projects 

  • Good technical communication skills, with the ability to summarize complex test failures and provide clear impact assessments for our tests, tools, and pipelines.

  • Demonstrated experience delivering complex projects in Python, including the use of AI-based coding, such as for infrastructure development, tooling and automated test writing.

  • Deep understanding of HIL and SIL methodologies, including real-time fault injection.

  • Ownership from design, to implementation and maintenance of automated testing pipelines (e.g., using Bamboo, Buildkite, Jenkins, or similar CI Tools) and developing custom automation plugins.

  • Practical  knowledge of Linux internals and networking protocols used in high-throughput real-time systems.

Bonus Qualifications:

  • Strong C++

  • Pytest customization experience

  • Background in autonomous systems or safety-critical robotics validation.

  • Experience applying Generative AI or Machine Learning tools to code, audit and improve test coverage and documentation.

  • Experience with real-time communication protocols (e.g., DDS, I2C, SPI, CAN, GMSL2).

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.

Follow us on LinkedIn

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.

Skills Required

  • Bachelor’s or higher degree in Mechatronics Engineering, Computer Science, Electrical Engineering, or a relevant technical field
  • 4 or more years of experience with demonstrated ownership of complex projects
  • Strong technical communication skills, including summarizing complex test failures and impact assessments
  • Demonstrated experience delivering complex projects in Python, including infrastructure development, tooling, and automated test writing
  • Deep understanding of Hardware-in-the-Loop and Software-in-the-Loop methodologies, including real-time fault injection
  • Experience owning automated testing pipelines using Bamboo, Buildkite, Jenkins, or similar CI tools
  • Experience developing custom automation plugins
  • Practical knowledge of Linux internals and networking protocols used in high-throughput real-time systems
  • Strong C++ skills
  • Pytest customization experience
  • Background in autonomous systems or safety-critical robotics validation
  • Experience applying Generative AI or Machine Learning tools to code, audit, improve test coverage, and documentation
  • Experience with real-time communication protocols such as DDS, I2C, SPI, CAN, or GMSL2

Zoox Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoox and has not been reviewed or approved by Zoox.

  • Healthcare Strength — Healthcare is extensive, with broad medical and vision options, company‑paid disability coverage, and multiple mental‑health resources. Feedback suggests coverage breadth and auxiliary programs support a wide range of needs.
  • Parental & Family Support — Family supports include paid parental leave, additional pregnancy disability time, fertility coverage, and adoption/surrogacy assistance. Backup care and family‑oriented programs further reinforce support across life stages.
  • Wellbeing & Lifestyle Benefits — Day‑to‑day perks are robust, including free daily meals, fitness subsidies, commuter support, and on‑site amenities. Feedback suggests these lifestyle benefits enhance convenience and workplace experience, especially for office‑based roles.

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The Company
HQ: Foster City, CA
2,900 Employees
Year Founded: 2014

What We Do

Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.

Why Work With Us

At Zoox, we are working to solve one of the greatest technological challenges of our generation. From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.

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