Senior Software Engineer, Autonomy Capabilities (R5339)

Shield AI
San Mateo
Workplace: OnsiteFull timeUSD 195,840 - 293,760 annuallyFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Troubleshooting","Communication","Teamwork","Collaboration","Research"]

Design and develop autonomy capabilities for single- and multi-agent unmanned platforms across air, land, and sea mission domains. Build high-performance software for planning, decision-making, and behavior execution, implement and validate behavior architectures, and integrate both classical and ML/RL approaches. Collaborate with perception, planning, simulation, hardware, and flight test teams, deploy on real platforms, and analyze mission logs to optimize performance and advance the autonomy roadmap.

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FursaFursa
Shield AI
Shield AI
4 days ago

Senior Software Engineer, Autonomy Capabilities (R5339)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and develop autonomy capabilities for single- and multi-agent unmanned platforms across air, land, and sea mission domains. Build high-performance software for planning, decision-making, and behavior execution, implement and validate behavior architectures, and integrate both classical and ML/RL approaches. Collaborate with perception, planning, simulation, hardware, and flight test teams, deploy on real platforms, and analyze mission logs to optimize performance and advance the autonomy roadmap.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design tactical autonomy algorithms enabling unmanned aircraft to perform complex missions with minimal human supervision across air, land, and sea.
  • •Develop high-performance software modules for planning, decision-making, and behavior execution in dynamic and adversarial environments.
  • •Implement and test behavior architectures for multi-agent coordination, target engagement, reconnaissance, and survivability.
  • •Integrate hybrid autonomy approaches combining classical autonomy with machine learning (including reinforcement learning) and validate performance on real platforms.
  • •Collaborate across multidisciplinary teams and support field testing by deploying autonomy capabilities, participating in demos/exercises, and analyzing mission logs to optimize performance.
Travel: Medium travel

Pay and Benefits

Salary: USD 195,840 - 293,760 annually
Equity and Bonus:Equity

Key Requirements

  • •Typically requires 5+ years of related experience with a Bachelor’s degree (or 4 years with a Master’s, or 2 years with a PhD, or equivalent experience).
  • •Proficiency in C++ and Python, with familiarity with real-time operating systems (RTOS).
  • •Significant background in robotic technology areas such as control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making.
  • •Experience with unmanned system technologies and algorithms (ideally in the space domain).
  • •Ability to obtain a SECRET clearance or higher.
Experience:5+ yearsRoboticsUnmanned systemsDefense-techSpace domain
Education:Bachelor's in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar
Skills:Problem-solvingTroubleshootingCommunicationTeamworkCollaborationResearch
Tech Stack:C++PythonRTOSAFSIMNGTSReinforcement learningMachine learningThreadingProtocolsInterface management

Eligibility

Security Clearance:SECRET

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn