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Senior Staff Software Engineer, Autonomous Pilot Integration (R5193)

Shield AI · Flight System Integration

Location
Washington, D.C. · San Diego, California · Boston, Massachusetts
Metro
Washington, DC, San Diego, Boston
Workplace
On-site
Level
Staff+
Type
Full-time
Pay
$234K–$351K/yr (published by employer)
Posted
5 months ago
Source
Lever

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What the posting covers

About the company

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…

About the company

At this level, you'll own the technical direction across multiple programs — driving the autonomy reference implementation and common patterns that portfolios adopt, anticipating where the autonomy stack needs to evolve, adapting as programs and priorities…

What You'll Do

Develop & Field Autonomy — Develop & integrate autonomy software solutions onto unmanned platforms (air, maritime, space, or effects/expendables), including payload computer bring-up, container-based deployment (e.g., k3s/k3d), and configuration across…

What You'll Do

Pre-deployment Preparation — Own the build, configuration, and validation process for mission-ready systems; coordinate hardware/software compatibility, mission readiness, and release cadence with capability and feature teams. On-site Test & Mission Support —…

Required Qualifications

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and…

Preferred Qualifications

Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns. Proficiency in Python for scripting, automation, and analysis. Experience leading multiple programs or driving cross-program…

Preferred Qualifications

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check.…