Humanoid
Software Engineer - Data & Reporting
About this role
Join Humanoid's Core Platform team to build internal software systems that collect, organize, and present critical engineering data for humanoid robot development. You'll develop tooling for test results, code coverage, and verification outputs while supporting safety certification and compliance reporting.
What you'll do
- Build systems to collect, organize, and curate engineering data including test results and code coverage
- Develop data integration tooling to connect multiple databases and third-party systems
- Design and generate dashboards, reports, and web interfaces for engineering visibility
- Ensure data integrity, traceability, and long-term preservation across the safety development lifecycle
- Support compliance documentation and reporting for external certification bodies like TÜV
- Extract actionable information from CI and build-system outputs into usable reports
What they're looking for
- Python (production-quality systems)
- Database design and backend data flows
- CI/CD systems and build automation
- Data integration and ETL pipelines
- Web dashboards and reporting interfaces
- React or modern frontend frameworks (preferred)
- Data integrity and reliability engineering
- System integration and API work
Benefits
- Fully paid medical, dental, and vision insurance
- 23 days of PTO plus separate sick leave and paid holidays
- 401(k) with 4% employer match
- Equity participation
- Free daily catered lunch, snacks, and drinks
- Opportunity to work with top-tier engineers in AI and robotics
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Humanoid
Humanoid develops commercially-scaled humanoid robots with focus on device security, fleet management, and safety-critical systems infrastructure. The company is hiring embedded engineers, platform infrastructure specialists, electrical test engineers, and IT support roles to build hardware validation systems, secure control pipelines, and lab operations.
View all jobs at HumanoidLikely interview questions
- Describe your experience building production-quality internal tooling—what made those systems reliable and trusted?
- Walk us through a time you integrated data from multiple disparate systems; what challenges did you face?