Senior Staff Software Engineer, Autonomy Capabilities (R4587)

Shield AI
San Mateo
Workplace: OnsiteFull timeUSD 280,512 - 420,768 annuallyFunction: Software EngineeringExperience: 7+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Teamwork"]

Develop autonomy capabilities for single- and multi-agent unmanned systems across air, land, and sea domains. Design tactical autonomy algorithms, build high-performance planning/decision/behavior software, implement and validate multi-agent behavior architectures, and integrate hybrid autonomy approaches blending classical methods with ML/RL. Partner with perception, planning, simulation, hardware, and flight test teams, and support deployment through field testing, demos, and mission-log analysis to iterate on performance.

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FursaFursa
Shield AI
Shield AI
3 days ago

Senior Staff Software Engineer, Autonomy Capabilities (R4587)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Develop autonomy capabilities for single- and multi-agent unmanned systems across air, land, and sea domains. Design tactical autonomy algorithms, build high-performance planning/decision/behavior software, implement and validate multi-agent behavior architectures, and integrate hybrid autonomy approaches blending classical methods with ML/RL. Partner with perception, planning, simulation, hardware, and flight test teams, and support deployment through field testing, demos, and mission-log analysis to iterate on performance.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design tactical autonomy algorithms for unmanned aircraft to perform complex missions with minimal human supervision.
  • •Develop high-performance software modules for planning, decision-making, and behavior execution in dynamic and adversarial environments.
  • •Implement and test behavior architectures enabling multi-agent coordination, reconnaissance, target engagement, and survivability.
  • •Integrate hybrid autonomy approaches combining classical methods with learning-based techniques such as reinforcement learning.
  • •Deploy autonomy capabilities to real platforms, participate in field tests/flight demos, and analyze mission logs and performance data to diagnose failures and optimize models.
Travel: Medium travel

Pay and Benefits

Salary: USD 280,512 - 420,768 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
  • •Typically 10+ years with a Bachelor’s, 9+ years with a Master’s, or 7+ years with a PhD (or equivalent experience).
  • •Proficiency in C++ and Python, with familiarity with real-time operating systems (RTOS).
  • •Significant background in robotics technologies such as motion planning, behavior modeling, decision-making, or autonomous system design.
  • •Significant experience with unmanned system technologies and algorithms (specifically air domain) plus simulation testing experience (e.g., AFSIM, NGTS).
Experience:7+ yearsRoboticsUnmanned systemsAutonomy
Education:Bachelor's
Skills:Problem-solvingCommunicationTeamwork
Tech Stack:C++PythonRTOSMLReinforcement learningAFSIMNGTSUCIOMS Standards

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