Senior Software Engineer, Autonomy Integration (R6035)
San Diego, United States · On-site · Full-time
- Posted 1w ago
- From Shield AI’s careers page
- Location
- San Diego, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Senior
- Experience
- 2+ years
- Department
- Software Development
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About the role
What you'll do:
- Build and maintain stable Pilot integration environments, reference configurations, reusable test fixtures, and representative end-to-end examples.
- Partner with component teams as they add capabilities to the shared integration environment, maintain the integration baseline, and help resolve gaps in shared workflows, test harnesses, or extensibility.
- Develop and maintain automated software-in-the-loop and hardware-in-the-loop tests that exercise behavior across autonomy components.
- Integrate and debug production software across planning and controls, simulation, vehicle interfaces, and other parts of the autonomy stack.
- Investigate failures across system boundaries. Reproduce and instrument each problem, isolate the responsible layer, fix integration-owned defects, and give the owning team clear evidence when a component or infrastructure change is required.
- Develop integration-oriented bridge blocks and adaptors for common vehicle and hardware interfaces, along with the tests and documentation needed to maintain them.
- Improve repeatability with focused integration tooling for configuration validation, deployment, diagnostics, log collection, test orchestration, and failure triage.
- Support deployment of the integrated autonomy stack to representative hardware, including software configuration, telemetry, interface troubleshooting, and lab or field debugging.
- Work with the flight-test team to define test objectives, prepare integrated software and instrumentation, assess test readiness, support troubleshooting during test events, and analyze integration failures afterward.
- Write and maintain setup guides, reference configurations, troubleshooting runbooks, and executable examples. Contribute technical material to Pilot training.
- Surface brittle interfaces and recurring integration problems so that the responsible Pilot teams can make informed architectural decisions.
- Improve integration quality by reducing integration defects and increasing end-to-end test readiness.
Skills they ask for
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About Shield AI
AI systems for defense and autonomous aircraftShield AI develops AI-enabled aircraft and autonomous systems, including Hivemind, to support service members and civilians.
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