6 дней назад
Senior Software Engineer (Autonomous Driving)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Autonomous Driving): Designing and building behavior planning systems for autonomous vehicles operating in structured, low-speed airport environments with an accent on multi-agent interaction, decision-making under uncertainty, and robust edge-case handling. Focus on implementing real-time planning algorithms in C++ and Python, validating them in simulation and real-world scenarios, and optimizing systems for minimal latency.
Location: Remote within the United Kingdom and listed European locations, including Amsterdam, Berlin, Dublin, Frankfurt, Italy, London, Munich, Paris, Poland, and Stockholm.
Company
is a Series A company developing autonomous ground-handling solutions for airlines and ground service providers, combining autonomous vehicle technology with a robotics-as-a-service business model.
What you will do
- Design and implement behavior-planning algorithms for autonomous vehicles operating in complex airport airside scenarios.
- Own key behavior-planner modules connecting mission-level goals with motion-level execution.
- Develop efficient and scalable software in C++ and Python.
- Integrate planning systems with cross-functional engineering teams and contribute to software architecture.
- Test and validate planning algorithms in simulated environments and real-world scenarios.
- Analyze system performance, implement improvements, and document code, algorithms, and system designs.
Requirements
- Professional experience with modern C++ and object-oriented programming.
- Proficiency in Python for rapid prototyping and testing.
- Strong debugging, profiling, and code-optimization skills.
- Deep understanding of behavior planning approaches, including state machines, behavior trees, and probabilistic planning.
- Familiarity with path-planning algorithms such as A*, RRT, or optimization-based methods.
- At least 3 years of industry experience in autonomous driving, robotics, or a related field.
Nice to have
- Experience with machine learning for behavior prediction and planning.
- Experience with ROS or ROS2.
- Experience implementing high-frequency replanning for dynamic environments.
- Knowledge of low-latency real-time navigation, optimization techniques, and probabilistic models.
- Master’s degree or PhD in Robotics, AI, Mathematics, or a related field focused on planning, optimization, or control theory.
Culture & Benefits
- Remote work arrangement within the listed United Kingdom and European locations.
- Work on a market-defining enterprise product serving major airlines and ground-handling providers.
- Close collaboration with the autonomy engineering team and other engineering groups.
- Deeply technical work spanning autonomous vehicles, robotics, and real-world airport operations.
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