Staff Software Engineer, Autonomy Capabilities – Space (R5368)

Shieldai; Boston (MA); In loco; USD 150.000 - 210.000; Tempo pieno

Descrizione del lavoro

Shield AI is seeking a Staff Engineer to lead the technical delivery of autonomy capabilities across space and multi-domain platforms. You will balance theory with practical, rigorous implementation to bring autonomous solutions into real-world aircraft and satellite contexts.

The role emphasizes optimization, distributed decision-making, and cross-functional collaboration with perception, planning, simulation, and hardware teams. A SECRET clearance or higher is required.

Competenze

• Proficient in programming languages such as C++ and Python.
• Experience with real-time operating systems (RTOS).
• Background in control, motion planning, optimization, and distributed decision-making.

Mansioni

• Lead technical delivery of autonomy capabilities for complex systems.
• Drive systems-level thinking and integration across teams.
• Collaborate with perception, planning, simulation, hardware, and flight test teams.

Conoscenze

C++

Python

RTOS

Optimization

Formazione

BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent

Strumenti

AFSIM

NGTS

Descrizione del lavoro

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.

As a Staff Engineer, you will lead the technical delivery of complex autonomy capabilities and demonstrate the ability to operate in significantly more grey space than more junior engineers, helping customers shape their requirements, define technical approaches for the team, and drive technical execution throughout the development process. You will combine your deep technical expertise with systems-level thinking to deliver scalable and operationally ready autonomy solutions.

• Multi-Objective Optimization – Use advanced optimization strategies to perform large-scale distributed decision making, task allocation, and resource scheduling in multi-satellitecoordinatedmissions
• Weapons Target Assignment – Employcutting edgeapproaches forweapons target assignment andmotion planning forfleets ofspace vehiclesandinterceptorsthat have critical roles in our national defense
• Advance the State of the Art – Pioneer advanced topics in low-SWaPoptimalcontrol, 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 includingperception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms
• Deployment & TestSupport – Deploy autonomy capabilities to realspace vehicles, supportinganalysis ofmissionlogs to verify softwareperformanceandvalidatesystem operational effect
• R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifyingtactical 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).

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 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• Proficiencyin programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Significant background inone or severalrobotic technologyareasrelated tocontrol systems,motion planning,optimization,tacticalbehaviors,and/ordistributeddecision-making
• Significant experiencewith unmanned system technologies andaccompanyingalgorithms (ideally in thespacedomainspecifically)
• 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 andoptimizesystem performance
• Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
• Ability to obtain a SECRET clearanceor higher
• Experiencein multiple aerospace domains (e.g., air, land, sea, space)
• Experience across a breadth of methodologies from classical control through optimization and appliedML/RL
• Background in collaborative behaviorsandswarm robotics
• Familiarity withdomain-relevantDoD or government programs
• Hands-on experience supportingintegration events, customer demos, and/orlive exercises

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.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal 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.