Senior Staff Software Engineer, Autonomous Pilot Integration – Emerging Domains
Role overview
Job description
Stand Up New Programs – Define the technical strategy for establishing autonomy on entirely new platforms and mission areas, determining what should be built, reused, or extended from existing Shield AI capabilities.
Navigate Ambiguity & Shifting Priorities – Lead engineering through evolving customer needs, changing priorities, and uncertain technical landscapes while maintaining execution and long-term technical vision.
Technical Strategy & Portfolio Leadership – Define long-term technical direction across Emerging Domains, establishing architecture, integration strategies, and engineering patterns that enable successful transition from R&D to operational programs.
Develop & Field Autonomy – Guide development and deployment of autonomy capabilities across space, maritime, contested logistics, and future emerging platforms while ensuring successful operational delivery.
Platform Team Partnerships – Build deep technical partnerships with platform organizations and influence interface evolution, integration strategy, and long-term platform architecture.
Collaboration Across Teams & Partners – Influence architecture across Autonomy Capabilities, Perception, GCS, platform teams, engineering leadership, customer organizations, and external partners.
Design & Documentation – Lead architecture reviews, engineering standards, ICDs, and technical best practices across multiple organizations.
Pre-deployment Preparation – Guide release strategy, mission validation, and operational readiness across multiple emerging programs.
On-site Test & Mission Support – Provide senior technical leadership during critical demonstrations, operational exercises, and customer events where deep systems expertise is required.
Hardware/Software Debugging – Lead resolution of the organization's most challenging autonomy integration problems spanning software, hardware, embedded systems, and platform interfaces.
Mission Data & Debrief Support – Drive organizational learning from operational testing and shape future technical investments based on mission outcomes.
Continuous Improvement – Drive long-term improvements to engineering processes, developer experience, testing infrastructure, and integration workflows across the Emerging Domains portfolio.
C2 Interoperability & Standards – Define technical strategy for command-and-control interoperability and guide adoption of platform-appropriate open-systems standards across emerging programs.
Grow R&D into Programs – Partner with engineering leadership and customers to evolve successful R&D efforts into scalable, long-term programs while helping shape technical strategy for future portfolios.
Hiring & Developing Technical Talent – Help define the technical hiring bar for senior engineering roles, mentor future technical leaders, and partner with managers to grow organizational capability.
Travel Requirement – Members of this team typically travel around 10–20% of the year to different office locations, customer sites, operator training events, flight tests, and integration exercises.
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BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience.
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Expert-level C++ and Linux systems development experience.
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Demonstrated experience defining technical strategy across multiple programs or engineering organizations.
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Proven track record solving highly complex systems integration challenges in ambiguous environments.
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Experience mentoring senior engineers and influencing engineering direction without formal authority.
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Ability to obtain a SECRET clearance.
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Experience leading first-of-kind autonomy or advanced R&D efforts.
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Experience across multiple autonomy domains (air, maritime, space, ground, or robotics).
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Experience transitioning prototypes into operational systems.
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Experience with government R&D programs and defense customers.
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Experience shaping engineering practices across an organization.
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Experience with UCI, OMS, STANAG 4586, or other defense interoperability standards.
About this listing
- Source: Shield AI's official careers site (via Lever) · last confirmed on the source 30 Oct 2026
- Posted 21 Jul 2026
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What they are looking for
Skills & requirements
Qualification
BS/MS in a relevant engineering discipline or equivalent practical experience. Typically requires 10+ years of relevant experience
Department · Hivemind Solutions Division
Hiring company
Shield AI
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