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source · wttj·req · jb_c360968eb6·listed 3w ago

Senior Staff Engineer (Autonomy and Motion Planning)

Shield AI·London, United Kingdom·Hybrid·Full-time
Sourced listing · wttjNo salary disclosed
Posted
10 August 2026
via wttj
Type
Full-time
Arrangement
Hybrid
United Kingdom
Deadline
9 September 2026
closes in 11d
compensation · estimating
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Summary

the pitch

Join our Autonomy team as a Senior Staff Engineer, where you will lead the delivery of autonomous behaviors into our products. You will be responsible for architecting, designing, delivering, supporting, and evolving mission autonomy software throughout the entire product lifecycle. Your expertise in software and systems will be utilized to architect behaviors as scalable software subsystems, and you will collaborate with external teams to align on interfacing requirements. This position offers excellent benefits, including medical coverage, paid parental leave, and competitive compensation.

Role

posted by company
  • Proficient in production-level C++ software development
  • Desire to work in a highly collaborative, fast paced, enthusiastic, and mission-centric environment
  • Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment
  • Capacity to act as the technical owner for an entire software system, including stakeholder engagement, requirements definition, roadmap management, team co-ordination, design, implementation, sustainment, and evolution
  • Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
  • Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management
  • BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field
  • Eligible to obtain and maintain an active U.S. Secret security clearance
  • 7+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls
  • Experience across a breadth of technology readiness levels (TRLs) and demonstration of bridging concepts from research-grade to operationally ready
  • Experience across a multitude of application areas, including but not limited to:
  • Experience with mission systems integration, and ideally, hands-on experience supporting integration events and/or flight demonstrations
  • Collaborative mission planning, behavior planning, synchronized teaming
  • Automated red force vs blue force tactics
  • Weapons target assignment, Sensor target pairing, sensor-centric control laws
  • Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions
  • Experience in more than one operational effect (e.g., strike, air combat, surveillance, reconnaissance, etc.) and more than one associated domain (e.g., air, space, maritime, ground, etc.)
  • Collision avoidance, geofencing, and safety-monitoring
  • Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimization solvers, etc.)
  • Familiarity with practical aspects of navigation and communications systems
  • Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
  • Experience across the product delivery lifecycle, from emerging opportunity through system acceptance, deployment, and sustainment
  • Familiarity with systems engineering methodologies
  • Familiarity with high-assurance software development processes (e.g., DO-178C or equivalent MIL-STD's)

Key responsibilities

  • Lead the delivery of autonomous behaviors into products, acting as a technical lead and hands-on contributor.
  • Drive the architecting, design, delivery, support, and evolution of mission autonomy software throughout the product lifecycle.
  • Develop tactical autonomy software to enable unmanned platforms to perform complex missions across various domains with minimal human supervision.