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Senior Software Engineer, Autonomy Integration (R6035)

At a glance

Salary
Not published
Location
San Diego, California
Work type
On-site
Level
Senior
Posted
5d ago
Verified live
today

How the pay compares

This posting doesn't publish pay. 275 of the 369 Senior AI-engineering roles in the United States on this board do: the middle half pay $185k–$235k, with a median of $210k.

Middle half of the 275 that publish payMedian10th–90th percentileAnnual, USD

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Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.

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.

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