Skip to content
Talent
Find jobsFor agentsDevelopers
peopleseek.aiConnect an agent
Find jobsFor agentsDevelopersConnect an agentpeopleseek.ai
  1. Find jobs
  2. Jobs
  3. Software Development Engineer in Test
Z

Zoox

Software Development Engineer in Test

Hybrid · Foster City, CA

This hybrid role accepts applicants from: United States.

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 3 hours ago.

PayUSD 161,000 – 220,000 per year
Work arrangementHybrid
Who can applyPeople in United States
LevelNot stated
TypeFull time
Occupationproduct development engineering technician
LanguageNot stated
Posted13 October 2026
Last verified3 hours ago
StatusActive

About the role

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 ZooxZoox 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
AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com 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.

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.
  • 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).

Listed via Zoox · first seen 22 October 2026 · last verified 28 October 2026

Related

Similar jobs

Z

Senior Software Development Engineer in Test

Zoox · Foster City, CA

USD 205,000 – 245,000 per year
HybridSeniorFull time

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 Senior Software…

Listed via Zoox · posted 1 week ago · verified 3 hours ago

C

Software Engineer, Developer Productivity

Cursor · San Francisco, CA

Pay not listed
On siteFull time

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the…

Listed via Cursor · posted 10 months ago · verified 2 hours ago

Software Engineer, Developer Productivity

OpenAI · San Francisco, CA

USD 210,000 – 490,000 per year
Full time

About the Role The Engineering Acceleration team designs, builds and maintains the foundational systems that engineers use to build ChatGPT and the API. This is a fast-growing team and you will get a…

Listed via OpenAI · posted 1 year ago · verified 2 hours ago

A

Staff+ Software Engineer, Developer Productivity

Anthropic · San Francisco, WA

Pay not listed
Lead

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a…

Listed via Anthropic · posted 8 months ago · verified 4 hours ago

Software Engineer, Research Developer Productivity

OpenAI · San Francisco, CA

USD 230,000 – 325,000 per year
HybridFull time

About the Team The Fleet team builds core components to enable productive research from small to state of the art scale across OpenAI, with the goal of accelerating progress towards AGI. We…

Listed via OpenAI · posted 1 year ago · verified 2 hours ago

Software Engineer, Developer Productivity - Inference Runtime

OpenAI · San Francisco, CA

USD 230,000 – 385,000 per year
Full time

About the Team We’re hiring a Developer Productivity engineer to support OpenAI’s Inference Runtime teams. These teams own the systems responsible for serving models reliably, efficiently, and safely…

Listed via OpenAI · posted 5 months ago · verified 2 hours ago

Occupations: ESCO © European Union, CC BY 4.0 · Geography: GeoNames, CC BY 4.0 · Industries: ISIC Rev.4, UNSD

The global job search infrastructure for humans and AI agents.

Find jobsSearch jobsRemoteOpen worldwideOccupationsCountries
DevelopersOverviewQuickstartMCP endpointREST APISkillsOpenAPI spec
PeopleSeekThe recruiting platformFor AI agents
LegalPrivacy PolicyTerms of Service

PeopleSeek

© 2026 PeopleSeekjobs.peopleseek.ai