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An ideal candidate should aspire to be a part of this industry-changing team developing and deploying advanced technology that can truly make an impact.</p>\n<p>We are seeking a skilled and motivated leader with 10+ years of experience to manage a technical team supporting the development, integration, and testing of perception algorithms for advanced aerospace, defense, and robotics systems. In this role, you will contribute to implementing and integrating innovative perception solutions while collaborating with a multidisciplinary team of engineers to meet challenging operational requirements.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. 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As a Senior Manager, Autonomy - Tactical Behaviours, you will lead technical teams and support direct projects implementing autonomy algorithms for defence platforms.</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li><p>Leading multidisciplinary teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.</p>\n</li>\n<li><p>Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.</p>\n</li>\n<li><p>Developing high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies for dynamic and adversarial environments.</p>\n</li>\n<li><p>Implementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.</p>\n</li>\n<li><p>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.</p>\n</li>\n<li><p>Collaborating with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.</p>\n</li>\n<li><p>Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions.</p>\n</li>\n<li><p>Analyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development.</p>\n</li>\n<li><p>Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI&#39;s mission.</p>\n</li>\n<li><p>Supporting defence-focused programmes and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.</p>\n</li>\n<li><p>Traveling around 10-15% of the year to different office locations, customer sites, and flight integration events.</p>\n</li>\n</ul>\n<p>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.</p>\n<p>If you are a motivated and experienced professional with a passion for autonomy and defence, we encourage you to apply for this exciting opportunity.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6e817b5f-6e4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/b6ba7e12-0225-4883-a5b1-0aa4c7eaa183","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$229,233 - $343,849 a year","x-skills-required":["C++","Python","Real-time operating systems (RTOS)","Motion planning","Behaviour modeling","Decision-making","Autonomous system design","Unmanned system technologies","Simulation tools and environments","Strong problem-solving skills","Excellent communication and teamwork skills"],"x-skills-preferred":["Machine learning (ML)","Reinforcement learning (RL)","Collaborative behaviours","Swarm robotics","Distributed decision-making","Tactical behaviours for unmanned systems","UCI and OMS Standards"],"datePosted":"2026-04-17T13:04:47.326Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Real-time operating systems (RTOS), Motion planning, Behaviour modeling, Decision-making, Autonomous system design, Unmanned system technologies, Simulation tools and environments, Strong problem-solving skills, Excellent communication and teamwork skills, Machine learning (ML), Reinforcement learning (RL), Collaborative behaviours, Swarm robotics, Distributed decision-making, Tactical behaviours for unmanned systems, UCI and OMS Standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":229233,"maxValue":343849,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58422c65-bfb"},"title":"Senior Engineer, Autonomy - Tactical Behaviors","description":"<p>This position is perfect for an individual who enjoys solving complex problems across diverse domains and modalities. 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As a Staff Engineer, Autonomy - Tactical Behaviours, you will design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.</p>\n<p>Key responsibilities include:\nDesigning tactical autonomy algorithms to enable unmanned aircraft to perform complex missions\nDeveloping high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies\nImplementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios\nWorking at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods\nCollaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms\nDeploying autonomy capabilities to real platforms and participating in field tests and flight demos\nAnalyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development\nContributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions\nSupporting defence-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback</p>\n<p>Required qualifications include:\nBS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience\nTypically 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\nProficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)\nSignificant background in robotics technologies related to motion planning, behaviour modelling, decision-making, or autonomous system design\nSignificant experience with unmanned system technologies and accompanying algorithms (specifically air domain)\nExperience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation\nStrong problem-solving skills, with the ability to troubleshoot and optimise system performance\nExcellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment\nAbility to obtain a SECRET clearance</p>\n<p>Preferred qualifications include:\nExperience applying ML/RL techniques in autonomy pipelines\nBackground in collaborative behaviours, swarm robotics, or distributed decision-making\nFamiliarity with tactical behaviours for unmanned systems in DoD or government programs\nWork on behaviours applicable across air, ground, and maritime vehicles\nHands-on experience supporting flight demos or live exercises\nExperience with UCI and OMS Standards</p>\n<p>The salary range for this role is $182,720 - $274,080 per year.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6eae2a86-95b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/9c66691e-4497-4a25-8fe8-c9fdf09046ea","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$182,720 - $274,080 per year","x-skills-required":["C++","Python","Real-time operating systems (RTOS)","Motion planning","Behaviour modelling","Decision-making","Autonomous system design","Unmanned system technologies","Simulation tools and environments","Problem-solving","Communication","Teamwork","SECRET clearance"],"x-skills-preferred":["ML/RL techniques","Collaborative behaviours","Swarm robotics","Distributed decision-making","Tactical behaviours","UCI and OMS Standards"],"datePosted":"2026-04-17T13:02:40.551Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Real-time operating systems (RTOS), Motion planning, Behaviour modelling, Decision-making, Autonomous system design, Unmanned system technologies, Simulation tools and environments, Problem-solving, Communication, Teamwork, SECRET clearance, ML/RL techniques, Collaborative behaviours, Swarm robotics, Distributed decision-making, Tactical behaviours, UCI and OMS Standards","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":182720,"maxValue":274080,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_21dd4155-13b"},"title":"Senior Staff Engineer, Autonomy - Tactical Behaviors","description":"<p>This role is perfect for an individual who enjoys solving complex problems across diverse domains and modalities. As a Senior Staff Engineer, Autonomy - Tactical Behaviors, you will design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions</li>\n<li>Developing high-performance software modules that incorporate planning, decision-making, and behavior execution strategies</li>\n<li>Implementing and testing behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios</li>\n<li>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</li>\n<li>Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms</li>\n<li>Deploying autonomy capabilities to real platforms and participating in field tests and flight demos, validating performance in operationally relevant conditions</li>\n<li>Analyzing mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development</li>\n<li>Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI&#39;s mission</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience</li>\n<li>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</li>\n<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)</li>\n<li>Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design</li>\n<li>Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)</li>\n<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation</li>\n<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance</li>\n<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment</li>\n<li>Ability to obtain a SECRET clearance</li>\n</ul>\n<p>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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_21dd4155-13b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Shield AI","sameAs":"https://www.shield.ai","logo":"https://logos.yubhub.co/shield.ai.png"},"x-apply-url":"https://jobs.lever.co/shieldai/d345caad-82d3-4d53-ba5f-c93882547f09","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220,800 - $331,200 a year","x-skills-required":["C++","Python","Real-time operating systems (RTOS)","Motion planning","Behavior modeling","Decision-making","Autonomous system design","Unmanned system technologies","Simulation tools and environments","Problem-solving","Communication","Teamwork"],"x-skills-preferred":["Machine learning (ML)","Reinforcement learning (RL)","Collaborative behaviors","Swarm robotics","Distributed decision-making","Tactical behaviors for unmanned systems"],"datePosted":"2026-04-17T13:01:25.879Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC / Boston, MA / San Diego, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"C++, Python, Real-time operating systems (RTOS), Motion planning, Behavior modeling, Decision-making, Autonomous system design, Unmanned system technologies, Simulation tools and environments, Problem-solving, Communication, Teamwork, Machine learning (ML), Reinforcement learning (RL), Collaborative behaviors, Swarm robotics, Distributed decision-making, Tactical behaviors for unmanned systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220800,"maxValue":331200,"unitText":"YEAR"}}}]}