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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Robotics Solutions Engineer - Robotics Data Collection & Physical AI - **Company:** Innodata Inc - **Location:** Ridgefield Park, NJ, United States - **Experience:** Experienced - **Salary:** $150,000.0 - $230,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Information Engineering, Software Debugging, Python (Programming Language), Information Technology, Data Management, Data Pipelines - **Published:** July 30, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87762233/1 ## About the Role * 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 Linuxbased environments. * Handson 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 frontline 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 crossfunctionally with Sales, Product, Engineering, and Operations in a fastmoving 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 largescale dataset design, evaluation frameworks, or robotics data marketplaces. ## Description The next frontier for AI is the physical world, and Innodata is building the data factory that powers Physical AI for frontier robotics and humanoid systems. As a Robotics Solutions Engineer, you will be a trusted technical partner to some of the world's most innovative robotics and modelbuilding teams, combining handson robotics/data engineering with a customerfacing, presales to post-sales mindset. You will design and showcase data capture solutions, lead technical pilots, samples, and demos, and help customers turn realworld robotics problems into concrete datasets, pipelines, and evaluation strategies that unlock real model and business impact. This is a highvisibility role that directly influences strategic deals and longterm partnerships. What You'll Own: * 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 (realworld, 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 presales 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. ## Related Videos - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Using AI Without Losing Your Skills](https://www.wearedevelopers.com/videos/2045-using-ai-without-losing-your-skills) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)