Staff Engineer - Maritime Autonomy & Multi-Agent Systems

Shield AI

San Diego (CA)

On-site

USD 221,000 - 331,000

Full time

14 days+
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Job summary

Shield AI is seeking a Staff Engineer to lead the technical delivery of advanced autonomy capabilities for maritime portfolios, including USVs and UUVs, and to drive multi-agent teaming across platforms. You will blend control theory with optimization, and deliver real-world, integrated autonomy solutions that scale for multiple missions.

You will collaborate with perception, planning, simulation, hardware, and field teams, support deployments, and help shape roadmaps while balancing theory with

Qualifications

  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or equivalent practical experience.
  • Minimum 4 years with a Bachelor’s, or 6 years with a Master’s, or 4 years with a PhD.
  • Proficiency in C++ and Python; familiarity with RTOS.
  • Background in robotics: motion planning, behavior modeling, autonomous system design.
  • Experience with unmanned system technologies and related algorithms (space domain preferred).
  • Experience with simulation tools like AFSIM/NGTS for testing and validation.

Responsibilities

  • Lead technical delivery of complex autonomy capabilities.
  • Combine deep technical expertise with systems thinking for scalable solutions.
  • Develop high-performance software with clear interfaces and TRL readiness.
  • Collaborate with perception, planning, simulation, hardware, and OT teams.
  • Deploy capabilities to real platforms and support integration events.

Skills

C++
Python
RTOS
Motion planning
Autonomy

Education

BS/MS in CS/EE/ME/Aerospace or related field
Bachelor's degree (related field)

Tools

AFSIM
NGTS

Job description

Shield AI is seeking a Staff Engineer to lead the technical delivery of advanced autonomy capabilities for maritime portfolios, including USVs and UUVs, and to drive multi-agent teaming across platforms. You will blend control theory with optimization, and deliver real-world, integrated autonomy solutions that scale for multiple missions.

You will collaborate with perception, planning, simulation, hardware, and field teams, support deployments, and help shape roadmaps while balancing theory with

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