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- Tasks: Design and build advanced behaviour planning systems for autonomous vehicles in dynamic environments.
- Company: AeroVect, a pioneering tech company transforming ground handling with autonomy.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and real-world impact.
- Why this job: Join a cutting-edge team and shape the future of autonomous driving technology.
- Qualifications: Proficient in C++ and Python, with experience in robotics or autonomous driving.
The predicted salary is between 60000 - 80000 £ per year.
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.
We are looking for an experienced Senior Software Engineer who can design and build best-in-class behavior planning systems for autonomous driving in structured, low-speed environments. In this role, you'll own the design and implementation of key modules in the behavior planner — the decision-making layer that determines what the vehicle should do in complex, dynamic airside scenarios. You'll work at the intersection of mission-level goals and motion-level execution, tackling problems in multi-agent interaction modeling, rule-based and learned decision-making, and robust handling of edge cases unique to airport ground operations. This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
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
Senior Software Engineer, Behavior Planning employer: AeroVect Technologies Inc.
Contact Detail:
AeroVect Technologies Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Behavior Planning
✨Tip Number 1
Network like a pro! Attend industry meetups, tech conferences, or even local coding events. Chatting with folks in the field can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to autonomous driving or robotics. A well-documented GitHub can really make you stand out when we’re looking for talent.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. We love seeing candidates who can think on their feet and tackle real-world problems, so practice coding challenges and mock interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at AeroVect.
We think you need these skills to ace Senior Software Engineer, Behavior Planning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ and Python, as well as any relevant projects in autonomous driving or robotics. We want to see how your skills align with the role, so don’t be shy about showcasing your best work!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for AeroVect. Share your passion for autonomous technology and how your background in behavior planning can contribute to our mission. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems, especially in multi-agent systems or dynamic environments. We love seeing how you approach challenges and what innovative solutions you've come up with.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at AeroVect Technologies Inc.
✨Know Your Algorithms
Brush up on your knowledge of behaviour planning algorithms like state machines and behaviour trees. Be ready to discuss how you've applied these in past projects, especially in the context of autonomous driving or robotics.
✨Showcase Your Coding Skills
Prepare to demonstrate your proficiency in C++ and Python. You might be asked to solve coding problems on the spot, so practice writing clean, efficient code and be ready to explain your thought process as you go.
✨Understand the Company’s Vision
Familiarise yourself with AeroVect's mission and the challenges they face in ground handling. Being able to articulate how your skills can contribute to their goals will show that you're genuinely interested in the role and the company.
✨Prepare for Real-World Scenarios
Think about how you would approach testing behaviour planning algorithms in both simulated and real-world environments. Be prepared to discuss specific examples from your experience where you validated and refined algorithms based on performance data.