Join Us in Building the Future of Home Robotics
At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you.
What to Expect
As a Robotics Systems Software Integration Engineer, you will join the Robotics Systems team and own software releases and integration for customer robots and our internal fleets. This role will coordinate release scope with engineering and product teams, establish release readiness criteria, and drive testing with our quality assurance team through to deployment. You will partner with Infra team on build, release, and deployment tooling.
What You'll Do
Own the release cadence, and assemble each release, pinning a compatible and reproducible set of versions across our repositories
Keep regression, stress, and endurance test plans current as the stack evolves, with a clear pass or fail bar
Investigate failures using robot logs, reproduce regressions, and drive fixes through merge and retest, implementing fixes directly or working with the owning engineers
Ship releases to internal fleets and customer robots, and communicate what changed to engineering and non-technical teams alike
Monitor release health in the field, land hotfixes quickly, and improve test coverage
What You'll Bring
3+ years shipping software for robots, vehicles, or other complex products where software meets hardware
Proficiency in Python or C++, and comfort reading and debugging code across a large codebase you did not write
Fluency with git branching, merging, cherry-picking, and release branch management, and with continuous integration systems
Strong systems debugging instincts: you can use logs and code to isolate a failure, reproduce it, and identify a path to a fix
Experience defining test plans and pass or fail criteria for systems that unit tests cannot fully cover
A track record of coordinating across teams and holding a quality bar under schedule pressure
Clear written communication, including the ability to explain a technical change to product, operations, and support colleagues
Nice to Haves
Experience deploying software to a fleet of devices in the field, including staged rollouts and rollback
Experience with hardware-in-the-loop or automated on-device testing
Familiarity with real-time robot software, such as controls, perception, or autonomy stacks
Prior release engineering, quality assurance, or technical program management experience in an organization shipping both hardware and software
At Sunday Robotics, we’re building technology shaped by real people — curious, creative, and diverse. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria — we don’t want that to be the reason we miss out on great talent.
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



