3 дня назад
Senior Software Engineer (Autonomous Driving)
160 000 - 200 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Autonomous Driving) (C++/Python/Robotics): Building behavior planning systems for autonomous vehicles operating in complex, dynamic airport ground-handling environments with an accent on multi-agent interaction, decision-making under uncertainty, and real-time navigation. Focus on designing state machines, behavior trees, and probabilistic planning algorithms, integrating path planning methods, and validating low-latency performance in simulation and real-world scenarios.
Location: Remote from Toronto or Vancouver, Canada
Salary: CA$160,000–CA$200,000 annually, plus equity
Company
is a Series A company developing autonomous ground-handling solutions for airlines and ground service providers through autonomous vehicle technology and a robotics-as-a-service model.
What you will do
- Design and implement behavior planning algorithms for autonomous vehicles operating in structured, low-speed airport environments.
- Own key behavior-planner modules that connect mission-level goals with motion-level execution.
- Develop efficient and scalable software in modern C++ and Python.
- Test and validate planning systems in simulation and real-world scenarios.
- Analyze system performance, optimize behavior-planning software, and improve handling of dynamic edge cases.
- Collaborate with autonomy, planning, and other engineering teams on system integration and documentation.
Requirements
- Proficiency in modern C++ and object-oriented programming.
- Strong Python skills for rapid prototyping and testing.
- At least 3 years of industry experience in autonomous driving, robotics, or a related field.
- Deep understanding of state machines, behavior trees, probabilistic planning, and decision-making under uncertainty.
- Experience with path-planning methods such as A*, D*, RRT, or optimization-based approaches.
- Strong debugging, profiling, code optimization, and real-time systems skills.
Nice to have
- Master’s degree or PhD in Robotics, AI, Mathematics, Computer Science, or a related field.
- Experience with machine learning for behavior prediction and planning.
- Experience with ROS or ROS2.
- Experience building high-frequency replanning systems for dynamic environments.
- Knowledge of optimization techniques, probabilistic models, planning, or control theory.
Culture & Benefits
- Remote work available from Toronto or Vancouver.
- Opportunity to contribute to an enterprise autonomy product used by major airlines and ground service providers.
- Work at the intersection of autonomous vehicles, robotics, and aviation ground operations.
- Equity included in the compensation package.
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