Senior Staff Software Engineer, Autonomous Pilot Integration (R5402)

Shieldai; San Mateo (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Shield AI is building autonomous systems for a range of platforms, requiring hands-on engineers who can craft autonomy software, mission behaviors, and multi-agent coordination. You will own end-to-end development from simulation to live testing, collaborating with multiple teams and external partners.

In this role, you will mentor senior engineers, drive architecture choices, and ensure mission readiness through robust hardware/software validation.

Qualifications

• Experience developing autonomy software for unmanned platforms.
• Ability to design mission behaviors and platform controls.
• Familiarity with integration across hardware, software, and testing environments.

Responsibilities

• Develop autonomy code for unmanned platforms (air, maritime, space, expendables).
• Own end-to-end testing from software-in-the-loop to live tests.
• Mentor engineers and influence cross-team architecture decisions.
• Coordinate hardware/software validation and mission readiness across teams.

Skills

Autonomy software

Mission behaviors

Multi‑agent coordination

Platform-specific control

C++

Python

Hardware‑in‑the‑loop

Vehicle‑in‑the‑loop

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-BATaircraft, 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.

The Autonomous Pilot Integration team builds autonomy solutions for a wide range of CONOPs and mission sets. We combine capabilities from the Autonomy Capabilities team (motion planning, tactics), the Perception team (e.g., track fusion), and theHivemindSDKto develop the autonomy software that runs on an unmanned platform — air, maritime, space, or effects/expendables, depending on the program — then integrate, validate, and field it on the real hardware. In this role, you'll write new autonomy code — such as mission behaviors, platform-specific control, multi-agent coordination, contingencies, and executive autonomy — and own it end-to-end from software-in-the-loop, to hardware-in-the-loop, to vehicle-in-the-loop, to live test exercise.You'llpartner closely with the Autonomy Capabilities and Perception teams, feature crews, and external platform integrators (vehicle/autopilot control vendors, C2 providers).It's a hands‑on role for engineers who like seeing their codeoperatein the real world — whetherthat'sflying, sailing, orbiting, or downrange — and want to be there when it does.

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 shift, and aligning with engineering leadership early. You'll serve as the subject‑matter expert other teams seek out on hard, ambiguous problems in unknown solution spaces; mentor senior engineers and other team leads; drive cross-team improvements in rigor and process; and represent the team to engineering leadership, customer/program offices, and standards bodies.

Shield AI is committed to developing cutting‑edge autonomy for unmanned platforms across every operating domain — air, maritime, space, and effects/expendables — in service of the U.S. Department of Defense and our international defense customers. Our Autonomous Pilot Integration engineers bridge the gap between R&D and deployment, ensuring autonomous systems function reliably and effectively wherever and when they’re needed most.

• 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 onboardcompute, sensors, and command‑and‑control interfaces — and own the technical direction across a set of related programs, driving the autonomy reference implementation and common patterns that keep delivery coherent across portfolios.
• Technical Strategy & Leadership — Set the technical direction across multiple programs; drive the autonomy reference implementation and common patterns that portfolios adopt; anticipate where the stack needs to go and adapt as priorities shift; align with engineering leadership early and maintain outward status; serve as the subject‑matter expert that the broader org reaches for when hard, ambiguous problems in unknown solution spaces land on the team.
• Collaboration & Cross‑Engineering Influence — Build effective working relationships across engineering; represent the team to engineering leadership, customer/program offices, standards bodies, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); shape architecture decisions beyond the team.
• Mentorship & Growth — Mentor senior engineers and other teamleads; provide cross‑functional mentorship to engineers in adjacent departments; help shape the leveling and career bar for the team and the broader engineering organization.
• Design & Documentation — Drive cross‑functional design reviews, architecture documents, and post‑mortems across many teams; publish content that informs decisions beyond the team; set the rigor and process bar for the broader engineering org.
• 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 — Travel to test sites and support live mission operations (flight tests, range exercises, on‑water trials, integration events), including safety checks, system bring‑up, and troubleshooting under time‑critical constraints.
• Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy stacks, payload computers, and embedded systems in lab and field environments — including memory, CPU, and timing profiling under operationally‑representative loads.
• Mission Data & Debrief Support — Capture mission and test data, reproduce