Staff Software Engineer
San Mateo, United States · On-site · Full-time
- Posted 1mo ago
- From Shield AI’s careers page
- Location
- San Mateo, United States
- Work mode
- On-site
- Type
- Full-time
- Level
- Senior
- Experience
- 7+ years
- Department
- Software Development
Opens the listing on jobs.lever.co
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About the role
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 onboard compute, sensors, and command-and-control interfaces — and lead a small team through the design, development, and delivery of a major capability or sub-program.
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Technical Leadership
- Lead a small feature crew or sub-program; set technical direction, break down work, unblock the team, and report progress to leadership and stakeholders.
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Collaboration Across Teams
- Act as a primary technical interface with the Autonomy Capabilities team (motion planning, tactics), the Perception team, feature crews, and external partners (platform integrators, vehicle/autopilot control vendors, C2 providers); author and negotiate ICDs and interface contracts rather than just consume them
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Mentorship & Growth
- Mentor mid-level engineers on the team; partner with managers on onboarding, leveling, and growth planning. Formally onboard senior new hires.
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Design & Documentation
- Drive design reviews, ICDs, and post-mortems for your area; push the team toward higher rigor and close process gaps that span teams.
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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.
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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.
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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.
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Mission Data & Debrief Support
- Capture mission and test data, reproduce issues in simulation, and partner with autonomy capability owners to drive fixes back into the next build.
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Continuous Improvement
- Build tools and processes to improve integration timelines, test/mission reliability, and team efficiency across deployment cycles.
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C2 Interoperability & Standards
- Own the interface contracts with C2 providers and drive standards compliance for your area, including implementation and validation against command-and-control standards (e.g., A-GRA, UCI, OMS).
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Hiring
- Interview candidates, help define the skills bar for open roles in your area, and onboard new engineers into your sub-program.
-
Travel Requirement
- Members of this team typically travel around 10-20% of the year (to different office locations, customer sites, and integration/test events).
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 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
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Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
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Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
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Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).
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Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
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Experience with autonomy simulation environments for testing and validation.
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Demonstrated experience leading a small technical team or owning a major capability from design through field delivery.
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Track record of mentoring engineers and growing technical talent.
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Experience authoring or negotiating interface contracts / ICDs with internal or external stakeholders.
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Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.
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Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
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Ability to obtain a SECRET clearance.
Preferred Qualifications:
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Direct experience supporting unmanned systems (air, maritime, space, ground, or effects/expendables) or similar field test campaigns.
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Proficiency in Python for scripting, automation, and analysis.
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Experience leading a feature crew, sub-program, or small team in an unmanned systems context.
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Experience owning customer- or partner-facing technical relationships (e.g., autopilot vendors, C2 providers, government program offices).
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Track record of cross-team improvements (process, rigor, documentation, or developer experience).
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Familiarity with autonomy stacks, motion planning, or vehicle-control integration.
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Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.
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Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.
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Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).
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Proficiency in developing automation tools for system testing, logging, and data parsing.
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Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.
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Comfortable interfacing with DoD stakeholders during field events or technical reviews.
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Experience with C2 standards such as A-GRA, UCI, or OMS.
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Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.
$234,240 - $351,360 a year
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About Shield AI
AI systems for defense and autonomous aircraftShield AI develops AI-enabled aircraft and autonomous systems, including Hivemind, to support service members and civilians.
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