Senior Software Engineer, Motion Planning

Outsiders Fund; City of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technology firm is seeking an experienced engineer to develop and implement advanced behavior planning algorithms for autonomous vehicles. The role requires proficiency in C++ and Python, a Master's degree in a relevant field, and a minimum of 3 years of industry experience in robotics or autonomous driving. The position offers a remote work environment and involvement in innovative projects impacting ground handling operations.

Qualifications

• Minimum of 3 years of experience in robotics or autonomous driving.
• Experience in designing and implementing behavior planning systems.

Responsibilities

• Develop and implement advanced behavior planning algorithms.
• Collaborate with teams for robust system integration.
• Conduct extensive testing in real-world scenarios.

Skills

Proficient in modern C++ (11/14/17)

Skilled in Python

Strong in debugging and profiling

Deep understanding of behavior planning algorithms

Familiarity with path planning algorithms

Education

Master’s degree in Computer Science or Robotics

Job description

Location

Remote, Amsterdam, Berlin , Dublin, Frankfurt , Italy , London , Munich, Paris , Poland, Stockholm, United Kingdom (Remote), Toronto - Remote, Vancouver (Remote)

Employment Type

Full time

Location Type

Remote

Department

Engineering

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

You will

• Develop and implement advanced behavior planning algorithms for autonomous vehicles
• Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems
• Design, write, and maintain efficient and scalable code in C++ and Python
• Contribute to the architecture and continuous improvement of behavior planning software
• Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms
• Analyze system performance and implement enhancements based on data and feedback
• Maintain comprehensive documentation of code, algorithms, and system designs
• Work closely with other engineering teams to ensure seamless coordination and development

You Have

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

We Prefer

• Knowledge of state machines, behavior trees, and decision-making under uncertainty
• Expertise in path planning algorithms such as A*, D*, and Rapidly-exploring Random Trees (RRT)
• Knowledge of machine learning techniques, especially in the context of behavior prediction and planning
• Experience with ROS / ROS2
• Implementing systems that can re-plan at high frequencies to adapt to dynamic changes in the environment
• Ensuring that behavior planning algorithms can execute with minimal latency for real-time navigation
• Proficiency in optimization techniques and probabilistic models for making informed planning decisions under uncertainty
• Master’s degree or PhD in Robotics, AI, Mathematics, or a related field with a focus on planning, optimization, or control theory is a plus