(Senior) Robotics Vision & Perception Engineer (m/f/d)

Batch Robotics; München; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Impact on technical direction

Equity / potential shares

Growth in VC-funded startup

Zusammenfassung

Batch Robotics in Munich is building AI-driven robotic systems for smart factories. We are seeking a Robotics Vision & Perception Engineer (m/f/d) with strong hands-on expertise to advance multi-camera perception, 3D reconstruction and seamless integration with robot control.

You will work on data pipelines, ML ops, production-grade perception stacks, and deploying models on-site. The role combines research-minded thinking with practical delivery in a fast-growing startup.

Qualifikationen

• Master’s degree (or PhD) with strong research background in computer vision

Aufgaben

• Architect, integrate and optimize multi-camera perception systems.
• Build end-to-end data pipelines and ML Ops for real-world data.
• Design 3D perception and shape reconstruction algorithms.
• Deploy models on production-grade robotic systems with real-time inference.
• Conduct rigorous evaluation and ensure robustness on factory floors.

Kenntnisse

3D point cloud data

Open3D

Python

CUDA/C++/Rust

Industrial deployment

Soft skills: entrepreneurship

Ausbildung

Master’s degree in CS/Engineering

PhD in computer vision

Tools

Open3D

Jobbeschreibung

Batch Robotics is revolutionizing how robots operate in factories — not through rigid programming or teaching by human demonstration, but with smart perception and AI intelligence. We are a team of 4 motivated people with +25 years of experience in industry and robotics. Our mission is to make robots smarter and more flexible, enabling batch-size-1 automation for surface treatment economically. Our technology helps factories in Europe to remain competitive with intelligent robotics.

We are now looking for a Robotics Vision & Perception Engineer (m/f/d) with technical excellence and entrepreneurial drive to join us in developing the next generation of AI-driven robotic systems!

Tasks

• Multi-Camera & Sensor Fusion: Architect, integrate, optimize and evaluate multi-camera vision and other sensor hardware perception systems. This includes developing robust multi-sensor calibration, synchronization, and visual-inertial or multi-modal fusion strategies that withstand environment variability and industrial noise of factories.
• Data Pipelines & ML Ops: Build end-to-end data pipelines spanning real-world vision and sensor (e.g. force, structured light, laser scanners) data ingestion, dataset management, and synthetic data generation via simulation tools.
• 3D Perception & Shape Reconstruction: Design, implement, and optimize computer vision and perception sensor software algorithms and ML systems to automate the generation of a digital twin of the workspace and workpiece under real-world factory constraints.
• Factory Integration: Deploy trained models into low-latency, production-grade robotics systems, ensuring real-time inference and seamless communication of the perception stack with robot control and policy pathways.
• Evaluation & Industrial Robustness: Run permanent, rigorous evaluation experiments, failure mode analyses, and benchmarking against accuracy and latency thresholds to guarantee fail-safe operation on the physical factory floor.

Requirements

• Research Background: Master’s degree in CS, Engineering, or a related field, alongside 3+ years (Senior: 10 years) of industrial experience or a completed Ph.D. in computer vision. You are capable of transferring new research papers in working code and can optimize for industrial-grade reliability.
• Core Technical Stack: Deep, hands-on experience with 3D point cloud data and geometric libraries (e.g. Open3D), working with concepts like geometric registration, shape reconstruction, spatial queries, and surface segmentation.
• Coding Excellence: Strong proficiency in Python with agentic programming; CUDA, C++ and/or Rust is an advantage.
• Hands-On Attitude: Proven track record of deploying industrial vision systems and handling noisy, temporal, or large-scale data. Comfortable deploying systems on-site in the field yourself and continuously improving the hardware-software perception stack.
• Soft Skills: Entrepreneurial drive, solution-oriented mindset, high agency and the ability to take direct responsibility in a fast-paced startup environment.

Benefits

• Impact: The unique opportunity to rethink industrial automation for batch-size-1 with cutting-edge AI to maintain European manufacturing sovereignty.
• Growth: Challenging tasks and impactful projects alongside experts in a high-growth VC-funded startup.
• Ownership: opportunity to actively shape the company's technical direction; potential shares in the company.
• Environment: A modern, central workspace in Munich with a collaborative, international culture.

Want to shape the future of industrial robotics?

We look forward to meeting you!