{"schemaVersion":"jobsearcher.job.v1","id":"f62f04fa7761490f033b964c","url":"https://jobsearcher.com/jobs/f62f04fa7761490f033b964c","canonicalUrl":"https://jobsearcher.com/jobs/f62f04fa7761490f033b964c","title":"Autonomy Technical Lead","description":"Technical Lead – Mission Orchestration & Swarm AutonomyLocations: Ann Arbor, MI or SF/Bay, CA (Relo Provided)Compensation: $200k-$300k Base + Significant Equity ($400k– $600k Total Comp)Clearance Requirement: U.S. Citizenship Required (ITAR)Direct Career Pathway: Technical Lead to Engineering Manager (scaling to lead 3 sub-teams / ~15 engineers within 6–12 months)About the OpportunityWe are retained by a premier, venture-backed Physical AI and Defense Autonomy market leader ($10B+ valuation) to recruit a Technical Lead – Mission Orchestration & Swarm Autonomy.Our client builds the definitive software, synthetic environments, and real-time decision-making platforms deployed across Tier-1 commercial autonomy and mission-critical national security programs. Rather than developing single-vehicle controllers or low-level motion planning, their Defense Autonomy division is architecting the high-level distributed decision engine that sits above individual assets.This role owns the greenfield software architecture for multi-agent task allocation (MATAL), automated mission decomposition, dynamic routing, and real-time swarm deconfliction across heterogeneous fleets (UAV, UGV, USV, UUV) operating in communication-degraded or contested environments.Key ResponsibilitiesArchitect the Mission Engine: Drive the technical vision, software architecture, and roadmap for the high-level orchestration and multi-agent coordination layer.Algorithmic Solver Development: Guide and implement discrete mathematical optimization solvers and automated task planning engines for distributed real-time decision-making.Lead from the Front: Remain hands-on in modern C++ (C++20) for core algorithm and system interfaces while leading code reviews, establishing architectural patterns, and raising technical rigor across the team.Decompose Mission Intent: Formulate systems that translate high-level human/commander intent into discrete, provably bounded tasks across heterogeneous robotic assets under strict operational and safety constraints.Scale Engineering Leadership: Act as the technical anchor today, mentoring senior engineers and driving the roadmap to transition into a formal Engineering Manager role leading ~15 engineers across three sub-teams within 6 to 12 months.Required Technical QualificationsMulti-Domain Autonomy Experience: Hands-on experience developing autonomous systems across UAV, UGV, USV, UUV.Production: 8+ years of software engineering with deep expertise in modern C++ Technical Leadership: 2+ years leading system architecture, mentoring engineers, and driving delivery as a Tech Lead or Staff Engineer.Core Algorithmic Foundations (Must have 2+):Automated Task Planning: Hierarchical Task Networks (HTN/HDDL), PDDL, or Behavior Trees.Discrete Optimization / Operations Research: Mixed-Integer Linear Programming (MILP), Constraint Programming (CP-SAT), Gurobi, CPLEX, or OR-Tools.Multi-Agent Systems (MAS): Multi-Agent Task Allocation (MATAL), dynamic vehicle routing (VRP), swarm deconfliction, or auction algorithms.Formal Logic: Temporal logic (LTL, STL, MTL) for mission constraints and safety bounds.Desired / Differentiating SkillsExperience with multi-agent negotiation, game theory for multi-agent coordination, or decentralized auction mechanisms.Background in Battle Management Command and Control (BMC2), C4ISR, or multi-domain operations (air, ground, maritime, space).Prior contributions to programs involving DARPA (e.g., CODE, OFFSET, ACE), Collaborative Combat Aircraft (CCA), or collaborative robotics fleets.Practical familiarity with real-time optimization under compute-, energy-, or edge-constrained hardware.Total Rewards & BenefitsCompensation: $200k-$300k Base + Significant Equity ($400k– $600k Total Comp)Healthcare: 100% company-paid premium coverage for medical, dental, and visionRetirement: 401(k) plan with company match.Relocation Package: Ann Arbor, MI or the San Francisco Bay Area.Time Off & Support: Flexible paid time off, parental leave, continuous learning stipends, and daily on-site meals.","company":"Code Red Partners","rawCompany":"code red partners","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-01T08:22:50.492Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Autonomy Technical Lead","description":"Technical Lead – Mission Orchestration & Swarm AutonomyLocations: Ann Arbor, MI or SF/Bay, CA (Relo Provided)Compensation: $200k-$300k Base + Significant Equity ($400k– $600k Total Comp)Clearance Requirement: U.S. Citizenship Required (ITAR)Direct Career Pathway: Technical Lead to Engineering Manager (scaling to lead 3 sub-teams / ~15 engineers within 6–12 months)About the OpportunityWe are retained by a premier, venture-backed Physical AI and Defense Autonomy market leader ($10B+ valuation) to recruit a Technical Lead – Mission Orchestration & Swarm Autonomy.Our client builds the definitive software, synthetic environments, and real-time decision-making platforms deployed across Tier-1 commercial autonomy and mission-critical national security programs. Rather than developing single-vehicle controllers or low-level motion planning, their Defense Autonomy division is architecting the high-level distributed decision engine that sits above individual assets.This role owns the greenfield software architecture for multi-agent task allocation (MATAL), automated mission decomposition, dynamic routing, and real-time swarm deconfliction across heterogeneous fleets (UAV, UGV, USV, UUV) operating in communication-degraded or contested environments.Key ResponsibilitiesArchitect the Mission Engine: Drive the technical vision, software architecture, and roadmap for the high-level orchestration and multi-agent coordination layer.Algorithmic Solver Development: Guide and implement discrete mathematical optimization solvers and automated task planning engines for distributed real-time decision-making.Lead from the Front: Remain hands-on in modern C++ (C++20) for core algorithm and system interfaces while leading code reviews, establishing architectural patterns, and raising technical rigor across the team.Decompose Mission Intent: Formulate systems that translate high-level human/commander intent into discrete, provably bounded tasks across heterogeneous robotic assets under strict operational and safety constraints.Scale Engineering Leadership: Act as the technical anchor today, mentoring senior engineers and driving the roadmap to transition into a formal Engineering Manager role leading ~15 engineers across three sub-teams within 6 to 12 months.Required Technical QualificationsMulti-Domain Autonomy Experience: Hands-on experience developing autonomous systems across UAV, UGV, USV, UUV.Production: 8+ years of software engineering with deep expertise in modern C++ Technical Leadership: 2+ years leading system architecture, mentoring engineers, and driving delivery as a Tech Lead or Staff Engineer.Core Algorithmic Foundations (Must have 2+):Automated Task Planning: Hierarchical Task Networks (HTN/HDDL), PDDL, or Behavior Trees.Discrete Optimization / Operations Research: Mixed-Integer Linear Programming (MILP), Constraint Programming (CP-SAT), Gurobi, CPLEX, or OR-Tools.Multi-Agent Systems (MAS): Multi-Agent Task Allocation (MATAL), dynamic vehicle routing (VRP), swarm deconfliction, or auction algorithms.Formal Logic: Temporal logic (LTL, STL, MTL) for mission constraints and safety bounds.Desired / Differentiating SkillsExperience with multi-agent negotiation, game theory for multi-agent coordination, or decentralized auction mechanisms.Background in Battle Management Command and Control (BMC2), C4ISR, or multi-domain operations (air, ground, maritime, space).Prior contributions to programs involving DARPA (e.g., CODE, OFFSET, ACE), Collaborative Combat Aircraft (CCA), or collaborative robotics fleets.Practical familiarity with real-time optimization under compute-, energy-, or edge-constrained hardware.Total Rewards & BenefitsCompensation: $200k-$300k Base + Significant Equity ($400k– $600k Total Comp)Healthcare: 100% company-paid premium coverage for medical, dental, and visionRetirement: 401(k) plan with company match.Relocation Package: Ann Arbor, MI or the San Francisco Bay Area.Time Off & Support: Flexible paid time off, parental leave, continuous learning stipends, and daily on-site meals.","datePosted":"2026-09-01T08:22:50.492Z","dateModified":"2026-09-01T08:22:50.492Z","hiringOrganization":{"@type":"Organization","name":"Code Red Partners","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f62f04fa7761490f033b964c"},"url":"https://jobsearcher.com/jobs/f62f04fa7761490f033b964c"}}