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- Tasks: Develop advanced algorithms for autonomous vehicles and collaborate with diverse teams.
- Company: AeroVect, a pioneering company in autonomous ground handling solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join us to shape the future of aviation with cutting-edge technology.
- Qualifications: Proficient in C++ and Python, with experience in robotics or autonomous driving.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ 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.
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, Motion Planning in London 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, Motion Planning in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, conferences, or even online webinars related to autonomous driving and robotics. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving C++ and Python. Include any behaviour planning algorithms you've worked on. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of state machines, behaviour trees, and path planning algorithms. Practice coding challenges and mock interviews to get comfortable with the format. Remember, confidence is key!
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your experience in autonomous driving and robotics, and don’t forget to mention any relevant projects or achievements that align with our mission at AeroVect.
We think you need these skills to ace Senior Software Engineer, Motion Planning in London
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 involving behavior planning algorithms. We want to see how your skills align with what we do at AeroVect!
Showcase Your Projects: Include specific examples of your work in autonomous driving or robotics. If you've implemented path planning algorithms or worked with ROS, let us know! This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and avoid jargon unless it's relevant. We appreciate a well-structured application that gets to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
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 implemented these in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Coding Skills
Since the role requires proficiency in C++ and Python, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges and be familiar with debugging and optimising code.
✨Understand the Company’s Vision
Familiarise yourself with AeroVect's mission and how they are transforming ground handling with autonomy. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare for Real-World Scenarios
Expect questions about testing in simulated environments and real-world scenarios. Think of examples from your experience where you validated and refined algorithms, and be ready to discuss the outcomes and improvements you achieved.
