Your primary responsibilities will include:

• Leading multidisciplinary teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.

• Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.

• Developing high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies for dynamic and adversarial environments.

• Implementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.

• Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behaviour.

• Collaborating with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.

• Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions.

• Analyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development.

• Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI's mission.

• Supporting defence-focused programmes and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.

• Traveling around 10-15% of the year to different office locations, customer sites, and flight integration events.

As a Senior Manager, Autonomy - Tactical Behaviours, you will have the opportunity to work on cutting-edge autonomy projects and contribute to the development of intelligent systems that will shape the future of defence and security.

If you are a motivated and experienced professional with a passion for autonomy and defence, we encourage you to apply for this exciting opportunity.

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Key responsibilities include:

• Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions
• Developing high-performance software modules that incorporate planning, decision-making, and behavior execution strategies
• Implementing and testing behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
• Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
• Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms
• Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions
• Analyzing mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development

Required qualifications include:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design
• Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation

Preferred qualifications include:

• Experience applying ML/RL techniques in autonomy pipelines
• Background in collaborative behaviors, swarm robotics, or distributed decision-making
• Familiarity with tactical behaviors for unmanned systems in DoD or government programs

Salary: $160,000 - $240,000 a year

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Key responsibilities include: Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions Developing high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies Implementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms Deploying autonomy capabilities to real platforms and participating in field tests and flight demos Analyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions Supporting defence-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback

Required qualifications include: 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 Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS) Significant background in robotics technologies related to motion planning, behaviour modelling, decision-making, or autonomous system design Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain) Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation Strong problem-solving skills, with the ability to troubleshoot and optimise system performance Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment Ability to obtain a SECRET clearance

Preferred qualifications include: Experience applying ML/RL techniques in autonomy pipelines Background in collaborative behaviours, swarm robotics, or distributed decision-making Familiarity with tactical behaviours for unmanned systems in DoD or government programs Work on behaviours applicable across air, ground, and maritime vehicles Hands-on experience supporting flight demos or live exercises Experience with UCI and OMS Standards

The salary range for this role is $182,720 - $274,080 per year.

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Key responsibilities include:

• Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions
• Developing high-performance software modules that incorporate planning, decision-making, and behavior execution strategies
• Implementing and testing behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
• Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
• Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms
• Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions
• Analyzing mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development
• Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI's mission

Requirements include:

• 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 programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
• Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design
• Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)
• Experience with simulation tools and environments (e.g., AFSIM, NGTS) 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

Preferred qualifications include experience applying ML/RL techniques in autonomy pipelines, background in collaborative behaviors, swarm robotics, or distributed decision-making, familiarity with tactical behaviors for unmanned systems in DoD or government programs, and hands-on experience supporting flight demos or live exercises.

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