Jobs at Nomagic

Lead and grow a software engineering team building AI-powered robots and deploying them in real warehouses. Own technical leadership, design complex multilevel software systems, improve delivery processes, and ensure quality through unit tests, simulations, and real-robot validation while scaling deployments and mentoring engineers.

Design, prototype, test and build mechanical hardware for robot integration in automated cells, including grippers, sensors and actuators. Create CAD designs and documentation, coordinate manufacturing and suppliers, iterate on prototypes, support onsite integrations, and apply robust design and project documentation practices.

Develop and lead software for robotic manipulation systems, integrating software and hardware, programming industrial robots, building control systems, APIs and deployment tools, and applying data and AI to improve robot behavior.

Develop and maintain software that controls physical robots, build modular control systems, use data-driven heuristics and anomaly detection, create deployment tools and APIs for WMS integration, and test code in simulation and on real robots.

Design and maintain high-quality vision and telemetry data pipelines for robotics, implement data versioning and metadata tagging, ensure synchronization and automated filtering, monitor real-time datastreams, and collaborate with AI research to supply reliable training data for foundational models.

The Project Engineer will coordinate engineering team projects, ensure timely delivery, solve technical issues, and analyze robot performance data.

As a Research Scientist, you will advance physical AI by merging ML research with robotics, focusing on foundational model training, adaptation, and real-world evaluation in factory environments.

The Research Engineer will bridge ML research and industrial robotic execution, focusing on training models, designing benchmarks, and improving real-world performance through large-scale infrastructure and evaluations.

The Campaign & ABM Marketing Manager will develop and execute integrated marketing campaigns, focusing on account-based marketing to drive pipeline growth within target accounts. Responsibilities include campaign management, HubSpot ownership, performance analysis, and collaboration with sales and content teams.

The Senior Business Development Representative will generate leads, qualify prospects, and collaborate with marketing and engineering teams to grow Nomagic's U.S. customer base, using an iterative outreach approach and attending trade events.

The Machine Learning Tech Lead will enhance robotic capabilities, lead a technical team, and develop machine learning systems for real-world applications.

The Machine Learning Manager will lead R&D to enhance robots' manipulation capabilities, deploy ML systems, and develop interfaces for integration with robots and management systems.

The Senior Project Engineering Manager oversees the technical execution of robotic systems, coordinating across teams and managing hardware delivery from concept to acceptance, ensuring project milestones are met and issues debugged.

The Senior Project Manager will oversee robot deployment projects, coordinate teams, ensure project delivery, manage budgets, and maintain client communication in the intralogistics and robotics industry.

As a Robot QA Specialist, you will test new features, identify bugs, run stability tests, and collaborate with engineers to improve robot performance.

The Senior Software Engineer will work on robotics software, solving physical manipulation challenges, designing complex systems, and leading technical initiatives.

Own outbound prospecting across Spain, Italy and Portugal to build a strong sales pipeline. Collaborate with marketing to identify and nurture prospects, map target accounts and stakeholders, create personalized outreach (LinkedIn, InMail, email, calls), represent Nomagic at trade shows, and optimize funnel conversion.

Lead end-to-end sales for warehouse automation in Spain, Italy and Portugal. Identify and close customers, run solution design workshops and reference visits, develop partner collaborations, support upsell and trade-fair presence, and improve funnel conversion to drive adoption of robotic pick-and-place SaaS solutions.

Develop and productionize deep learning methods for robotic perception and manipulation. Build, evaluate, and monitor ML models in production, automate retraining pipelines, detect anomalies and influence data-driven company strategy while collaborating with hardware and engineering teams.

Own Iberia sales for warehouse automation solutions from lead generation to close. Drive customer adoption, run workshops, negotiate contracts, build partner relationships, support trade shows, and improve funnel conversion.