2 months ago
Berlin, GermanyStaff+
Responsibilities
- Set technical direction for the Perception & Autonomous Systems team, including architecture, engineering standards, and roadmap planning.
- Remain hands-on by contributing to C++ implementation, code reviews, critical design work, and resolution of complex technical problems.
- Drive the computer vision stack using classical computer vision and hybrid CPU/CUDA processing pipelines.
- Guide machine learning model integration, inference optimization, quantization, deployment, and training workflows.
- Shape autonomous vehicle software architecture, including SOTIF considerations, and coordinate with adjacent teams.
- Mentor engineers and participate in field testing and experimental validation activities.
Requirements
- Bachelor's or master's degree in Computer Science, Robotics, Machine Learning, Computer Vision, or a related technical discipline.
- At least 8 years of professional experience in modern C++ development for high-performance or real-time systems.
- At least 8 years of experience in Machine Learning Engineering, Computer Vision, or deploying machine learning models in production.
- Several years of experience in Data Engineering or scalable data processing pipeline design.
- Proven technical leadership experience setting architecture direction, mentoring engineers, and driving cross-functional alignment while contributing hands-on.
- Strong expertise in modern C++, software architecture, ROS2, and performance optimization, with solid knowledge of classical computer vision and image processing.
- Experience with CUDA, GPU programming, MLOps, and inference optimization frameworks such as TensorRT or ONNX Runtime is advantageous.
- Fluent English is required; German knowledge is an advantage.
- Strong analytical, problem-solving, and interdisciplinary team guidance abilities are required.
Benefits
- Flexible working hours accommodating personal responsibilities such as parenthood, caregiving, and voluntary work.
- Corporate Benefits partner discounts across fashion, beauty, travel, and culture.
- Public transport ticket subsidy.
- Employer-funded further education and training.
- Attractive Wedding location with excellent public transport connections.
- Diverse, international team and work on socially relevant autonomous mobility solutions.
- The company is not fully remote and emphasizes face-to-face collaboration.
Tech Stack
Categories
ML EngineeringRobotics
