Jobs at Nomagic

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.

Conduct research at the intersection of ML and robotics to design and train foundation multimodal models from real-world robotic deployment logs. Work on pretraining and post-training (fine-tuning, RL/IL, RLHF), develop scalable data mixtures and training curricula, run ablations and scaling studies, collaborate with ML infrastructure for distributed training, build physical evaluation benchmarks, and iterate on real-robot deployments to improve robustness and performance.

Build, train, and deploy large-scale multimodal robot foundation models using production deployment logs; develop training infrastructure, experiment tooling, and on-robot evaluation pipelines; design physical benchmarks and close the loop between real-world results and ML research.

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 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 Marketing Intern will assist in researching competitors, managing creative assets, coordinating projects, and keeping the website updated to grow the company's brand presence.

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.

As a Senior Robotics Data Engineer, you will manage vision system data streams, ensure data quality for AI training, and collaborate on innovative robotics solutions.

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 Head of Group Accounting & Consolidation oversees financial reporting, group month-end close, consolidation, and technical accounting while ensuring compliance with local GAAPs and IFRS across multiple entities. Responsibilities include managing audits, tax/VAT governance, and revenue recognition. The role also coordinates with external accountants and internal stakeholders, guiding accounting policies and practices while supporting management reporting and vendor relationships.

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.