3 months ago
Berlin, GermanyStaff+
Responsibilities
- Set the technical direction, architecture, engineering standards, and roadmap for the Perception & Autonomous Systems team.
- Remain approximately 50% hands-on by implementing software, conducting code reviews, and contributing to critical design decisions.
- Drive the computer vision stack using classical computer vision techniques and CPU/CUDA-based processing pipelines.
- Guide machine learning model integration, inference pipelines, quantization, runtime optimization, deployment, and training workflows.
- Shape the autonomous vehicle software architecture, including SOTIF considerations.
- Mentor engineers, coordinate with adjacent teams, and provide technical leadership across design and implementation decisions.
- Participate in field testing, experimental validation, and other activities supporting Level 4 autonomous technology.
Requirements
- Bachelor's or master's degree in Computer Science, Robotics, Machine Learning, Computer Vision, or a related technical discipline.
- At least eight years of professional experience in modern C++ software development for high-performance or real-time systems.
- At least eight years of experience in Machine Learning Engineering, Computer Vision, or deploying machine learning models in production environments.
- Several years of experience in Data Engineering or designing scalable data processing pipelines.
- Proven technical leadership experience, including setting architecture direction, mentoring engineers, and driving cross-functional alignment while remaining 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.
- Strong analytical and structured problem-solving skills and the ability to guide an interdisciplinary engineering team.
- Fluent English is required; German knowledge is advantageous.
Benefits
- Flexible working hours.
- Corporate Benefits partner discounts.
- Subsidy for public transport tickets.
- Employer-covered further education and training.
- Attractive Wedding location with strong public transport connections.
- Face-to-face collaboration at new premises; the company is not fully remote.
- Diverse, international, team-oriented working environment focused on socially relevant autonomous mobility solutions.
Tech Stack
Categories
ML EngineeringRobotics
