Senior Motion Planning Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Motion Planning Engineer (Robotics): Designing and developing motion planning and control algorithms for autonomous heavy-duty vehicles with an accent on trajectory optimization, real-time re-planning, and safety-aware methods. Focus on bridging the gap between research and production-grade systems and optimizing GPU-accelerated workloads for real-time performance.
Location: On-site in Stockholm or Gothenburg, Sweden
Company
transforms road freight by deploying digital, electric, and autonomous technologies to help businesses accelerate their sustainability goals.
What you will do
- Design, develop, and maintain motion planning and control algorithms, including trajectory optimization and real-time re-planning for autonomous heavy-duty vehicles.
- Implement safety-aware methods such as tube MPC and control barrier functions to ensure planning safety.
- Work with semantic maps and map-based representations to inform planning and prediction.
- Collaborate with Perception, Control, and Systems Engineering teams to integrate the planning stack into the full autonomy pipeline.
- Optimize critical components for real-time performance, focusing on GPU-accelerated workloads.
Requirements
- PhD or highly qualified MSc in Robotics, Control Systems, Computer Science, Applied Mathematics, or a related field.
- 3+ years of research or industry experience in motion planning, trajectory optimization, or vehicle control for autonomous systems.
- Proficiency in Go, C++, and Python.
- Strong foundation in optimization-based planning (MPC, convex/non-linear optimization) and sampling-based planning (MPPI, CEM).
- Knowledge of vehicle dynamics modeling, such as bicycle models and tire-force models.
Nice to have
- Experience with CUDA or GPU-accelerated computing.
- Familiarity with prediction/forecasting, behavioral planning, or functional safety.
- Experience with learning-based planning/control, such as imitation learning or reinforcement learning.
Culture & Benefits
- Opportunity to work in a diverse, high-performing team focused on global sustainability.
- Innovative environment building solutions for the autonomous electric vehicle industry.
- Culture based on open perspectives, discussion, and a commitment to delivering high impact.
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