Senior Software Engineer, Behavior Planning

About This Opportunity

We are representing a well-funded autonomous vehicle technology company operating in the aviation sector. Our client is building enterprise-grade autonomy solutions for structured, low-speed environments and has secured Series A backing from leading investors.

We're seeking a Senior Software Engineer to design and implement behavior planning systems for autonomous operations. You'll own critical decision-making modules that enable vehicles to navigate complex, dynamic scenarios involving multiple agents and strict operational requirements.

This is a remote position based in the United Kingdom, reporting to the Planning Tech Lead within the autonomy engineering organization.

Responsibilities

• Develop and implement advanced behavior planning algorithms for autonomous vehicles operating in structured environments
• Design, write, and maintain efficient and scalable code in C++ and Python
• Architect the decision-making layer that bridges mission-level goals with motion-level execution
• Conduct extensive testing in both simulated environments and real-world scenarios to validate planning algorithms
• Analyze system performance metrics and implement data-driven enhancements
• Collaborate with cross-functional autonomy teams to ensure robust integration of planning systems
• Maintain comprehensive technical documentation of algorithms, code, and system architectures
• Tackle edge cases and implement robust handling for multi-agent interaction scenarios

What We're Looking For

Required:

• Master's degree in Computer Science, Robotics, or related field
• Minimum 3 years of industry experience in autonomous driving, robotics, or related domains
• Proficiency in modern C++ (C++11/14/17) and object-oriented programming
• Strong Python skills for rapid prototyping and testing
• Deep understanding of behavior planning algorithms including state machines, behavior trees, and probabilistic planning approaches
• Familiarity with path planning algorithms such as A*, RRT, or optimization-based methods
• Strong debugging, profiling, and code optimization capabilities

Preferred:

• PhD in Robotics, AI, Mathematics, or related field with focus on planning, optimization, or control theory
• Expertise in advanced path planning algorithms including D* and Rapidly-exploring Random Trees (RRT)
• Knowledge of machine learning techniques for behavior prediction and planning
• Experience with ROS/ROS2 frameworks
• Track record implementing high-frequency re-planning systems that adapt to dynamic environmental changes
• Experience with low-latency planning algorithms for real-time navigation
• Proficiency in optimization techniques and probabilistic models for decision-making under uncertainty
• Experience building decision-making systems that handle rule-based and learned approaches

How We Work With You

All applications are submitted through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and technical expertise. Qualified candidates will then be presented to our client for consideration. Please do not attempt to contact the client directly, as all communication should flow through our recruitment process to ensure a smooth and professional experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and experiences.