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Requirements:
Were looking for an experienced Project Manager to lead global manufacturing setup projects and support the transition from development to scalable production.
This is a highly hands-on role focused on establishing production lines, building operational infrastructure, coordinating cross-functional teams, and driving knowledge transfer between HQ and international manufacturing sites.
Significant travel & extended stays abroad Responsibilities:
Lead end-to-end manufacturing setup projects, from planning through ramp-up and stabilization
Manage operational, logistical, and technical activities on-site
Drive knowledge transfer, onboarding, and training for local teams
Build and manage project plans, timelines, risks, and milestones
Work closely with operations, NPI, supply chain, manufacturing, and finance teams
Support local hiring and development of operational teams abroad
Ensure smooth communication and alignment between global sites and HQ
Drive continuous improvement and operational excellence Requirements:
5+ years of Project / Program Management experience
Background in manufacturing, operations, supply chain, NPI, or production planning
Strong understanding of manufacturing environments and production workflows
Ability to read mechanical drawings and work with technical files
Experience leading cross-functional projects in matrix organizations
Strong leadership, organizational, and communication skills
Fluent English (spoken & written)
Willingness to travel abroad extensively (up to 50%)
Relevant degree in Industrial Engineering, Supply Chain, Logistics, or similar.

Requirements:
M.Sc.in Mechatronics/Autonomous Systems/Robotics/Mechanical Engineering/Aeronautical Engineering or similar.
Demonstrated experience with data driven algorithmics, advantage if applied to real world time series data (like audio, accelerometer etc.). Solid knowledge in Control Theory.
Solid knowledge in (at least two):
o Neural Networks Architectures (RNN/CNN/PINN), o Hyperparameters Optimization, o Feature Engineering, o Optimization Methods, o Reinforcement Learning o Real-Time Learning/Estimation Programming skills (at least two): C / C ++, Python, MATLAB / Simulink. Ability to design algorithms from scratch as well as to use open-source libraries. Personal skills - very high analytical skills, good communication and interaction with colleagues & customers, independence & quick learning. Fluent in English, both writing and speaking.
Advantages: o PhD in related field, o Experience with ML infrastructure, edge deployment, o Experience in programming DSP peripherals, o Relevant experience in the motion control industry.

Requirements:
* Practical Engineer
* 2+ years of Experience as a R&D Validation engineer
* Good knowledge of relevant CAD tools (ORCAD, Allegro)
* Experience and knowledge of safety standards and certification processes including hands on experience - advantage
* Experience with motion and control systems - advantage
* Personal skills: Excellent interpersonal skills, Ability to work independently or in a team of engineers
* Creative in solving complex problems