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Salary
$160k – $250k per year
Location
In office (San Diego)
Seniority
Senior
Visa
H-1B filings in 12 months: 2 · for this role: 1
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Oct 3, 2026. Shield AI scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Shield AI is an American defence technology company founded in 2015 that builds autonomy software and uncrewed aircraft for military missions. Its Hivemind autonomy stack lets aircraft fly, navigate and complete objectives without GPS, a remote pilot or a communications link, which matters in contested environments where those links are jammed. Headquartered in San Diego, California, the company fields the V-BAT vertical take-off aircraft with United States and allied forces, licenses Hivemind to other manufacturers and is developing the X-BAT jet for high-end missions.

Job Description:

We are hiring a Software Engineer, Autonomy Integration, who will be embedded in the Planning and Controls team and work day to day with Pilot's cross-functional Integration team. In this hands-on software role, you will build durable integration capability: reliable environments, representative end-to-end tests, diagnosable failures, and software that is ready for hardware and flight testing. You will draw on your experience in planning, controls, or autonomy decision-making and your systems integration skills to work across domain boundaries.

The Pilot Integration team provides stable reference integrations that component teams can use to add new capabilities and prove that they work as part of the larger autonomy stack. It builds and maintains the environments where Hivemind Pilot's autonomy capabilities come together. The team's work spans planning and controls, perception, simulation, vehicle interfaces, deployment, and system-level testing.

We are hiring across multiple experience levels. Depending on experience, engineers may begin with well-defined integrations and tests or independently own end-to-end workflows and ambiguous cross-system investigations.

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.

Required qualifications:

  • Bachelor's degree in a field such as computer science or robotics, or equivalent practical experience.
  • Experience developing or integrating planning, controls, or autonomy decision-making software.
  • Strong production software engineering skills in modern C++ and Python.
  • Hands-on experience integrating software with robotic or autonomous hardware, including deployment, interfaces, telemetry, and lab or field debugging.
  • Experience with software-in-the-loop or hardware-in-the-loop testing and automated system-level tests.
  • Experience developing and debugging software on Linux.
  • Strong systems-debugging skills, including the ability to reason across configuration, software, network, timing, and hardware boundaries.
  • Ability to write maintainable tests and tools for distributed or real-time systems.
  • Ability to communicate technical findings clearly and work effectively with engineers from several disciplines.
  • Ability to travel periodically and support lab, field, or flight-test events that may occur outside normal working hours.

Preferred qualifications:

  • Experience integrating across several autonomy domains, such as perception, state estimation, planning, controls, simulation, communications, or vehicle interfaces.
  • Experience supporting aircraft integration or flight-test readiness.
  • Experience with robotics middleware, vehicle protocols such as MAVLink, or integration adaptors.
  • Experience designing repeatable, diagnosable end-to-end test environments for complex autonomous systems.
  • Experience with configuration-driven systems, dependency compatibility, observability, or automated test orchestration.
  • Experience delivering software for fielded, real-time, safety-critical, or resource-constrained systems.
  • A record of leading ambiguous technical investigations or mentoring engineers through complex integration work.
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