JustJoin.IT Praca zdalna Senior

Principal AI/ML Robotics Engineer

Svitla Systems

⚲ Warszawa, Kraków, Wrocław, Poznań, Gdańsk, Gdynia, Toruń, Białystok, Lublin, Rzeszów

Wymagania

  • Machine Learning
  • robotics
  • PyTorch
  • AI
  • Python
  • MLOps

Opis stanowiska

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