Principal AI/ML Robotics Engineer

Svitla Systems Inc. is looking for a Principal AI/ML Robotics Engineer for a full-time position (40 hours per week) in Europe. Our client is a global company that creates cutting-edge solutions for various industries. 

We are looking for a Principal Engineer with deep domain expertise in robot policies, task planning, computer vision and decision-making under uncertainty to lead the development of real-world expert and generalist robot policies. Your work will drive how autonomous systems reason about goals, decompose tasks, and adapt in dynamic environments.

Requirements:

• Deep understanding of industrial automation domains, including factory automation, AMRs, predictive maintenance, navigation, mapping, and fleet coordination.

• Strong knowledge of robotics sensors and hardware, including sensor integration, signal processing, perception pipelines (e.g., LiDAR, RGB-D, IMU), and embedded AI hardware platforms.

• Prior contributions to open-source robotics projects, frameworks, or toolchains (e.g., ROS/ROS2 stacks, navigation/planning libraries) with demonstrable impact.

• 10+ years of experience in robotics, computer vision, control theory, or AI, with 3+ years of experience in a technical leadership role.

• Proven experience with autonomous mobile robots (AMRs), humanoid robotics, robotic manipulators, and perception/control systems in real production or industrial settings.

• Deep domain expertise in robot policies, task planning, computer vision, and decision-making under uncertainty to lead the development of real-world expert and generalist robot policies.

• M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.

• Proven track record of deploying algorithms in real-world systems.

• Strong knowledge of Python, with experience in frameworks like ROS, PyTorch, or TensorFlow.

• Familiarity with the areas of robot locomotion, robot kinematics, and robot dynamics.

• Understanding of real-time systems, embedded platforms, or simulators such as Gazebo, Isaac Sim, MuJoCo, OpenAI Gym, or Unreal Engine.

• Familiarity with MLOps and software best practices: CI/CD, containerization (Docker), orchestration (Kubernetes), etc.

• Excellent communicator and collaborator with the ability to lead multi-disciplinary teams and influence stakeholders across hardware, software, and business domains.

• Familiarity with industrial domains: factory automation, AMRs, predictive maintenance, etc.

• Prior contributions to open-source projects.

• Understanding of sensor design, signal processing, or embedded AI hardware platforms.

• Demonstrated expertise in at least one of the following: Task and motion planning; Policy learning methods; Robot foundation models; Decision making under uncertainty; Multi-sensor fusion (camera, LiDAR, IMU, encoders); Robot control and integration.

Responsibilities:

• Lead the design and deployment of expert and generalist policies that enable the execution of industrial-targeted task sets.

• Drive the design of task policies using techniques such as hierarchical planning, reinforcement learning, or hybrid methods.

• Develop real-world and simulation-based datasets for benchmarking and validation; guide sensor selection and system integration.

• Collaborate cross-functionally with embedded, hardware, and systems engineers to bring scalable solutions from research to production.

• Stay current with the state of the art in robotics, Edge AI, and self-supervised learning — and guide the team in adopting innovative technologies.

• Contribute to the broader AI platform architecture, CI/CD pipelines, and MLOps practices.

We offer:

• US and EU projects based on advanced technologies.

• Competitive compensation based on skills and experience.

• Regular performance appraisals to support your growth.

• Flexibility in workspace, either remote or our welcoming office.

• Bonuses for article writing, public talks, and other activities.

• Generous time off, including vacation, national holidays, sick leaves, and family days.

• Personalized learning programs tailored to your interests and skill development.

• Free tech webinars and meetups organized by Svitla.

• Regular corporate online activities.

• Awesome team and a friendly, supportive community