Senior Staff Software Engineer, Autonomous Pilot Integration (R5402)

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 the HivemindSDK to 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'll partner 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 code operate in the real world — whether that's flying, 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.

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 a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• Proficiency in C++, with experience developing or integrating real-time or latency-sensitive systems.
• Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
• Familiarity with middleware, pub-sub, or IPC frameworks used in autonomy or robotics systems (e.g., DDS, message buses).
• Hands-on experience supporting demos, exercises, or field/mission tests for unmanned or autonomous systems.
• Experience with autonomy simulation environments for testing and validation.
• Demonstrated experience leading multiple teams or driving cross-program technical initiatives from concept through fielded delivery.
• Track record as the subject-matter expert sought across engineering on hard, ambiguous problems in unknown solution spaces in your discipline.
• Track record of setting forward-looking technical strategy and adjusting course as programs and priorities evolve.
• Track record of mentoring senior engineers and team leads, and shaping the career bar for the discipline.
• Experience shaping architecture decisions, interface contracts, and standards across multiple teams.
• Strong problem-solving skills, with the ability to troubleshoot and optimize system performance across the full stack.
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
• Ability to obtain a SECRET clearance.

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 technical initiatives in an unmanned systems context.
• Experience interfacing with customers and external stakeholders, representing the company in technical engagements, briefing senior leadership, and presenting to non-technical audiences.
• Track record of improvements that span the broader engineering organization (process, architecture, technical bar, or platform-wide tooling).
• Familiarity with autonomy stacks, motion planning, or vehicle-control integration.
• Competence in vehicle electronics bring-up (avionics, spacecraft buses, or vessel control), payload computer integration, or hardware-in-the-loop debugging.
• Experience with container orchestration (e.g., k3s, k3d, Docker) on embedded or payload compute.
• Familiarity with platform control / autopilot stacks (e.g., PX4, ArduPilot, spacecraft flight software, vessel autopilots).
• Proficiency in developing automation tools for system testing, logging, and data parsing.
• Build-system experience (e.g., Conan, CMake) and CI/CD pipeline familiarity.
• Comfortable interfacing with DoD stakeholders during field events or technical reviews.
• Experience with C2 standards such as A-GRA, UCI, or OMS.
• Familiarity with government-furnished simulation environments (e.g., AFSIM, NGTS) is a plus.