Senior Software Engineer, Autonomy Capabilities - Space

Shield AI
Boston, MA
On-site

Who this role is best for

Best suited to candidates with strong software engineering and control systems expertise working in defense and space technology domains.

Best fit for

  • Candidates with experience in multi-satellite coordination and real-time systems integration
    — “multi-satellite coordinated missions”
  • Individuals who have pioneered novel algorithms in low-SWaP optimal control
    — “low-SWaP optimal control”
  • Professionals who balance theoretical research with practical software implementation
    — “balancing theory with practice and rigorous implementation is paramount”

Things to consider

  • Travel expectations are around 10-15% of the year for integration and customer events
    — “Members of this team typically travel around 10-15% of the year”
  • The role demands a strong ability to operate in grey space and push technological boundaries
    — “demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial”

How to stand out

  • Highlight projects involving distributed optimization and real-time software integration
    — “large-scale distributed optimization, automated tasking and scheduling”
  • Emphasize experience with multi-agent coordination and tactical behavior management
    — “tactical behavior management in cooperative and adversarial contexts”
  • Showcase your ability to transition research into highTRL software solutions
    — “high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developing autonomy capabilities for satellites and missile defense applications
  • integrating capabilities into real-world platforms
  • balancing theory with practice and rigorous implementation
Typical background
background in aerospace engineeringexperience in control systemsknowledge of space vehicle dynamics

Skills & requirements

Required

Autonomy SystemsMulti-agent CoordinationTrajectory DesignOptimizationInformation FusionSoftware IntegrationSpace Vehicle Motion/behavior Planning

Preferred

Distributed OptimizationAutomated Tasking And SchedulingTrack FusionRPO Operations

Stack & domain

Defense-techAutonomy SoftwareV-batX-bat AircraftAechelon SimulationSynthetic Reality TechnologiesSpace Vehicle Motion/behavior Planning

About the role

Original posting from Shield AI via Lever

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 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 Autonomy Capabilities Team develops functionality to automate single- and multi-agent teams of platforms in pursuit of mission objectives and acts as a central discipline-aligned focal-point for encouraging consistent usage of technical approaches across business portfolios.  This team operates at all levels of the command-and-control hierarchy (from advanced control laws, through motion planning, and up to advanced tactical behaviors and multi-agent coordination) and across a multitude of mission sets, platform types, and operational domains (e.g., air, sea, space).  The team puts a strong emphasis on both fundamentals (e.g., aircraft kinematics/dynamics, trajectory design, optimization, information fusion, efficient algorithms, etc.) and software integration skillsets (e.g. structures, protocols, threading, interface management, etc.) to bring market-differentiating capabilities to customers that seamlessly operate within their integration contexts. 

This position is perfect for an individual who enjoys solving complex problems across a diverse set of programs and integration contexts. An ideal candidate is expected to address operational system needs through a multitude of advanced methodologies that blend traditional control system approaches with advanced optimization. Developed solutions are expected to be integrated into real-world platforms with near-term program impacts and rewards and so balancing theory with practice and rigorous implementation is paramount.  

Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning.  In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms.  You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.  In many cases, the capabilities you will develop are at the cutting-edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial. 

About the Job::

Focusing on the space portfolio, you’ll be creating autonomy capabilities for satellites and missile defense applications that span large-scale distributed optimization, automated tasking and scheduling, track fusion, RPO operations, and space vehicle motion/behavior planning.  In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms.  You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.  In many cases, the capabilities you will develop are at the cutting-edge and so demonstrating the ability to operate in grey space and at the intersection of the state-of-the-now and the state-of-the-possible is both exciting and crucial. 

As a Senior Software Engineer, you’ll build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment. You’ll work across teams to turn complex mission needs into reliable, scalable software, balancing near-term delivery with long-term maintainability and performance. In this role, you’ll play a critical part in shaping how autonomy capabilities are designed, integrated, and evolved across our platforms.

What You'll Do::

Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellite coordinated missions 

Weapons Target Assignment – Employ cutting edge approaches for weapons target assignment and motion planning for fleets of space vehicles and interceptors that have critical roles in our national defense 

Advance the State of the Art – Pioneer advanced topics in low-SWaP optimal control, tactical behavior management in cooperative and adversarial contexts, and information-aware planning 

Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions 

Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms 

Deployment & Test Support – Deploy autonomy capabilities to real space vehicles, supporting analysis of mission logs to verify software performance and validate system operational effect 

R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission 

Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events). 

Required Qualifications::

Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS) 

Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making 

Significant experience with unmanned system technologies and accompanying algorithms (ideally in the space domain specifically) 

Experience with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation 

Strong problem-solving skills, with the ability to troubleshoot and optimize system performance 

Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment 

Ability to obtain a SECRET clearance or higher  

Preferred Qualifications::

Experience in multiple aerospace domains (e.g., air, land, sea, space) 

Experience across a breadth of methodologies from classical control through optimization and applied ML/RL 

Background in collaborative behaviors and swarm robotics 

Familiarity with domain-relevant DoD or government programs 

Hands-on experience supporting integration events, customer demos, and/or live exercises 

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Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

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. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Source: Shield AI careers (Lever)

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