Senior Software Engineer – Autonomous Driving Behavior

AeroVect

United Kingdom

On-site

GBP 90,000 - 130,000

Full time

39 hours ago
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Job summary

AeroVect is seeking a Senior Software Engineer to design and build high-performance behavior planning systems for autonomous driving in low-speed airport environments.

You will own core modules in the behavior planner, implement C++/Python code, optimize for real-time operation, and collaborate with autonomy engineering to deliver a market-defining RaaS product. You will guide multi-agent decision-making, model edge cases, and improve robustness across missions.

Qualifications

  • Master's degree in CS, Robotics or a related field is required.
  • Strong proficiency in modern C++ (11/14/17) and Python for prototyping.
  • 3+ years of industry experience in autonomous driving or robotics preferred.

Responsibilities

  • Develop and implement advanced behavior planning algorithms for autonomous vehicles.
  • Collaborate with cross-functional teams to ensure robust integration of planning systems.
  • Design, write, and maintain scalable C++ and Python code.
  • Contribute to the architecture and continuous improvement of behavior planning software.
  • Test extensively in simulated and real-world environments to validate planning algorithms.
  • Analyze system performance and implement enhancements based on data.
  • Document code, algorithms, and system designs for maintainability.
  • Coordinate with other engineering teams for seamless development.

Skills

Modern C++
Object-oriented programming
Python
Debugging & profiling
Behavior planning algorithms
Path planning algorithms
Autonomous driving

Education

Master's degree in Computer Science, Robotics, or related field

Tools

ROS/ROS2

Job description

AeroVect is seeking a Senior Software Engineer to design and build high-performance behavior planning systems for autonomous driving in low-speed airport environments.

You will own core modules in the behavior planner, implement C++/Python code, optimize for real-time operation, and collaborate with autonomy engineering to deliver a market-defining RaaS product. You will guide multi-agent decision-making, model edge cases, and improve robustness across missions.

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