Robotics Solutions Engineer – Robotics Data Collection, Physical AI

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $150 000 - $230 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 39%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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InnoData

Site WebLinkedInTous les Emplois

2 - 10 employés

Fondée en 2019

🤝 B2B

💼 Conseil

🌍 Impact social

B2B • Consulting • Social Impact

InnoData est INNOvation DATA SCS, une coopérative sociale italienne basée à Foggia, spécialisée dans la fourniture de solutions technologiques. Le site web de l'entreprise (actuellement en maintenance) met en avant les "Soluzioni tecnologiche" (solutions technologiques) et l'impact social ("Impatto sociale"). Les coordonnées incluent Via Francesco Crispi 65, 71121 Foggia, Italie. D'après les informations disponibles, InnoData semble opérer à l'intersection de la technologie et de l'impact social, en proposant probablement des services axés sur la technologie à d'autres organisations.

Description

• Collaborate with Innodata Client Partners to scope and deliver technical pilots and POCs, earning the “technical win” with new and existing robotics customers. • Work closely with Engineering and Product to design and implement robotics data capture solutions (real-world, lab, and simulation), including sensors/rigs, teleop/UMI flows, and egocentric capture pipelines. • Collaborate directly with customers’ robotics and ML teams to understand their architectures (VLMs, VLAs, ACTs, world models, policies), define data and evaluation requirements, design execution plans, and translate them into actionable Statements of Work. • Design and run customized demos, playbooks, and experimental workflows that showcase robotics data capabilities and shorten the time from idea to production pilot. • Act as the technical owner of the customer experience: unblock integrations, debug data/workflow issues, and advise on best practices for data quality, coverage, and evaluation. • Collaborate closely with Robotics Project Leads to ensure clean handoff from pre-sales design to delivery, align on scope and success metrics, and support smooth execution of data collection programs. • Bring structured, frontline feedback from customers back into Innodata’s product and roadmap discussions, helping shape a scalable Robotics & Physical AI data practice and platform. • Represent Innodata at key industry events, conferences, and workshops, and contribute as a thought leader through talks, blog posts, and open artifacts that share learnings from our robotics data work.

🎯 Exigences

• Strong engineering background in Robotics, Mechatronics, Computer Science, or a related field. • 3+ years of experience developing with Python and one or more additional languages commonly used in robotics/ML (e.g., C++, Java), plus comfort working in Linux-based environments. • Hands-on experience with robotics or Physical AI systems (e.g., perception/control stacks, teleoperation, simulation, or robotics data pipelines). • Desire to conduct ongoing research and be a thought leader in world models and robotics models. • Excellent presentation and communication skills, with the technical credibility to work with both senior executives and front-line engineers. • Proven ability to manage complex technical projects, juggle multiple customer engagements, and operate with a strong sense of ownership and attention to detail. • High comfort working cross-functionally with Sales, Product, Engineering, and Operations in a fast-moving environment, including some customer travel as needed. • Prior experience in sales engineering, solutions engineering, or technical partnerships for data/AI/robotics products. • Experience selling or supporting complex technical solutions with enterprise customers. • Familiarity with large-scale dataset design, evaluation frameworks, or robotics data marketplaces.