Staff Engineer, Autonomy Behaviors

• BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field. • Proficient in production-level C++ software development. • 7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls. • Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management. • Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment. • Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity. • Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment. • Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution. • Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready • Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations Experience across a multitude of application areas, including but not limited to: • Collaborative mission planning, behavior planning, synchronized teaming. • Automated red force vs blue force tactics. • Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions. • Weapons target assignment, Sensor target pairing, sensor-centric control laws. • Collision avoidance, geofencing, and safety-monitoring. • Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.) • Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.) • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation. • Familiarity with practical aspects of navigation and communications systems. • Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment. •

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.  • Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision. • Implement and test behaviors that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios. • Work throughout the entire of the software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilizing tools and workflows consistent with collaborative high-quality software development. • Champion a product-line mindset in technology road-mapping and to enable reuse of behaviors across multiple projects and portfolios. • Utilize your software and systems expertise to architect behaviors as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing). • Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time. • Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.) • Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership. • Travel to co-locate with end-users and/or other teams up to 20% of the time Required Qualifications: • BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field. • Proficient in production-level C++ software development. • 7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls. • Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management. • Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment. • Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity. • Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment. • Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution. Preferred Qualifications: • Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready • Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations Experience across a multitude of application areas, including but not limited to: • Collaborative mission planning, behavior planning, synchronized teaming. • Automated red force vs blue force tactics. • Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions. • Weapons target assignment, Sensor target pairing, sensor-centric control laws. • Collision avoidance, geofencing, and safety-monitoring. • Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.) • Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.) • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation. • Familiarity with practical aspects of navigation and communications systems. • Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment. • Familiarity with systems engineering methodologies. • Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's). Total package details for U.S. based positions: - Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity - Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment) - Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity   Total package details for International positions which are roles based outside of the United States (where applicable): - International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer allowance, equity, international benefits, visa assistance, and relocation assistance.   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.   Shield AI is proud to be