This role is perfect for an individual who enjoys solving complex problems across diverse domains and modalities. 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.
\nKey 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
\nRequired 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
\nPreferred 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
\nThe salary range for this role is $182,720 - $274,080 per year.
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