At a Glance
- Tasks: Lead the development of cutting-edge autonomy software for unmanned platforms across various domains.
- Company: Join a pioneering tech company focused on innovative autonomous solutions.
- Benefits: Enjoy excellent medical coverage, flexible hours, and competitive compensation with stock benefits.
- Other info: Dynamic team environment with opportunities for growth and mentorship.
- Why this job: Make a real impact in the future of autonomous technology while collaborating with experts.
- Qualifications: 7+ years in software development, strong leadership skills, and a passion for innovation.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities
- This position on the Autonomy team in the UK will lead the delivery of autonomous behaviours into our products, acting as technical leads, senior individual contributors, and/or as team leads that are also hands-on contributors.
- We expect candidates to demonstrate unparalleled end-to-end outcome ownership, driving the architecting, design, delivery, support, and evolution of safe and effective mission autonomy software throughout the entire product lifecycle.
- Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with minimal human supervision.
- Implement and test behaviours that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.
- Work throughout the entire software development lifecycle, from requirements capture through design, implementation, verification, and validation, utilising tools and workflows consistent with collaborative high-quality software development.
- Champion a product-line mindset in technology road-mapping and to enable reuse of behaviours across multiple projects and portfolios.
- Utilise your software and systems expertise to architect behaviours as scalable software subsystems, that may interact directly or indirectly with a breadth of system components (e.g., sensor processing, state estimation, peer-to-peer communications, contingency management, actuation, and payload interfacing).
- Leverage internal product and program-specific engineering teams to rapidly deliver state-of-the-art capabilities to vehicle platforms (whether internally and externally owned), with a clear path towards architecture and capability evolution over time.
- Collaborate with external teams, aligning on interfacing requirements between diverse systems, often working closely with vehicle integration teams and associated operational subject matter experts (e.g., fighter pilots, UAV operators, etc.).
- Act as a subject matter expert for software engineering, representing software equities in a multi-stakeholder environment including engineering, business and sales leadership.
- Travel to co-locate with end-users and/or other teams up to 20% of the time.
Benefits
- Excellent Medical Coverage
- Mental Health Employee Assistance Program
- Paid Parental Leave
- Pet Insurance
- Flexible Work Hours
- Onsite Gym (DC)
- Gym Discount (San Diego)
- Free Parking
- Competitive Compensation
- Stock Benefits
- 401K Services and Match
Qualifications
- Eligible to obtain and maintain an active U.S. Secret security clearance.
- 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 coordination, design, implementation, sustainment, and evolution.
- 7+ years’ experience in one or more of the following: software sub-system scheduling and integration, behaviour planning, task and resource allocation, motion planning, optimisation, or flight controls.
- Proficient in production-level C++ software development.
- BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field.
- Experience with collaborative software development tools for version control, issue tracking, code reviews, and release management.
- Capacity to learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity.
- Desire to work in a highly collaborative, fast-paced, enthusiastic, and mission-centric environment.
- 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, behaviour planning, synchronized teaming.
- Automated red force vs blue force tactics.
- Motion planning across a variety of vehicle classes, kinematic constraints, and team compositions.
- Weapons target assignment, sensor target pairing, sensor-centric control laws.
- Collision avoidance, geofencing, and safety-monitoring.
- 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.).
- Experience with FOSS software that is commonly used in robotic systems (e.g., ROS, OMPL, optimisation solvers, etc.).
- Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.
- Familiarity with practical aspects of navigation and communications systems.
- 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).
We think you need these skills to ace Staff Engineer (Autonomy and Motion Planning)
C++ Software Development
Software Development Lifecycle
Mission Autonomy Software
Multi-Agent Coordination
Behavior Planning
Motion Planning
Systems Engineering Methodologies