(Senior) Robotics Engineer (F/M/D)

Animore; München; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation package

Work with a world-class robotics team

Job summary

Animore is expanding its robotics team in Munich, seeking engineers skilled in real-time C++, ROS2, and advanced control for mobile manipulators. You will implement production-grade control, navigation, and perception systems, collaborating with hardware, product, and research teams to deploy robust solutions.

You will work on SLAM, localisation, motion planning, and perception, bringing prototypes to reliable, production deployments while maintaining high standards and solving complex robotic

Qualifications

• Master's or PhD in a relevant programme.
• 7+ years of experience developing software for robotic systems.
• Advanced, real-time C++: production code on physical hardware.
• ROS2 proficiency in a production environment.
• Strong fundamentals in control theory and robot kinematics.
• Strong theoretical control background with predictive/optimisation-based control experience, and/or deploying vision/SLAM/localisation on real robots.
• MoveIt or equivalent motion planning frameworks.

Responsibilities

• Own critical parts of the robotics stack—extend the control/navigation systems for mobile manipulators and new hardware/sensors.
• Apply math-first approaches to control, SLAM, localisation, path planning, and obstacle avoidance.
• Deploy vision, control, and navigation on real robotic platforms in production.
• Write real-time C++ that runs on physical hardware.
• Collaborate with the robotics team to integrate control, navigation, and manipulation into a working platform.
• Drive mobile manipulators from prototype to production-grade deployment.
• Take on tasks outside core specialization as the team grows.

Education

Master's or PhD in a relevant programme

7+ years of experience developing software for robotic systems

Advanced, real-time C++

ROS2 proficiency in a production environment

Control theory fundamentals

Robot kinematics

Predictive/optimisation-based control experience

Vision, SLAM, localisation on real mobile robots

MoveIt or equivalent motion planning frameworks

Motion planning

Problem solving under pressure

Wireless operation / robot-to-robot communication (nice to have)

Job description

The Opportunity

We're growing our robotics team and hiring for two closely related specializations: low-level control for mobile manipulators, and navigation/mobile manipulation. Both roles are deeply hands-on, close to real hardware, and central to getting our mobile manipulators from prototype toward general deployment. This is a role for someone who has spent their career close to actual robots in production. The position offers the opportunity to solve complex challenges, working closely with hardware, product, and research teams. You'll help define technical roadmaps, influence architecture decisions, and drive engineering best practices.

Your Responsibilities

• Own critical parts of the robotics stack - extending our existing robotic arm control stack to new hardware and sensor configurations, and building out the systems (control or navigation) that let our mobile manipulators operate reliably in real deployment environments
• Apply rigorous, math-first approaches to hard robotics problems - whether that's predictive and optimisation-based control, or classical algorithms for SLAM, localisation, path planning, and obstacle avoidance
• Deploy vision, control, and navigation systems on real mobile robotic platforms in production, not just simulation
• Write real-time C++ that runs on physical hardware
• Collaborate closely with the wider robotics team as control, navigation, and manipulation systems come together into a working platform
• Push our mobile manipulators from prototype toward general, production-grade deployment
• Take on problems outside your core specialism as needed - scope shifts as the team grows

Technologies

• C++ (real-time, production), Python where relevant
• ROS2
• Classical SLAM, localisation, and mapping frameworks
• Computer vision and path planning for robotic platforms
• MoveIt or equivalent motion planning frameworks
• Predictive / optimisation-based control frameworks
• Robot kinematics and dynamics tooling

Requirements

Must Have

• Master's or PhD in a relevant programme
• 7+ years of experience developing software for robotic systems
• Advanced, real-time C++: proven experience writing production code that runs on physical hardware
• ROS2 proficiency in a production environment
• Strong fundamentals in control theory and robot kinematics, and/or deep classical algorithm expertise
• Strong theoretical control background with hands-on predictive/optimisation-based control experience, and/or experience deploying vision, SLAM, or localisation systems on real mobile robotic platforms
• Motion planning experience (MoveIt or equivalent), and/or a strong preference for deterministic, classical approaches over neural/ML-first solutions where reliability matters
• Strong problem-solving instincts, especially under pressure

Nice to Have

• Experience with wireless operation or robot-to-robot communication

Benefits

• Competitive compensation package
• Various employee subsidies and perks, including public transportation and Wellpass
• Work with a world-class team in a flat hierarchy, with direct collaboration alongside the founders and engineering team
• Opportunity to make a real impact by working on cutting-edge robotics and AI systems
• Fast growth potential in a rapidly evolving company and industry
• International office environment with English as the official working language

Recruiting Process

Your recruiting partner for this role is Madhulika (she/her). The process includes a screening interview, two virtual technical interviews, and an onsite visit to our office in Munich to meet with the team. We hire across backgrounds, identities, and experiences, and we are committed to a workplace where everyone belongs. Discrimination has no place here. If you need any accommodations during the recruiting process, just reach out to your recruiting partner.