Innodata Inc.
Technology
RoboticsSolutionsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Robotics Solutions Engineer at Innodata Inc.. Skills: Robotics, Physical AI, Data engineering, AI. Collaborate with Client Partners. Scope technical pilots”
What You'll Achieve.
Unlock real model impact; Unlock business impact
Industry & Context.
Troubleshooting data issues; Troubleshooting workflow issues
Customer travel
What They're Looking For.
Must Have
3+ years developing with Python, Experience with robotics data pipelines, Experience with perception/control stacks, Experience with teleoperation, Experience with simulation, Comfort working in Linux-based environments, Experience selling complex technical solutions
Nice to Have
Master's in Robotics, Master's in Mechatronics, Master's in Computer Science, Prior sales engineering experience, Prior solutions engineering experience, Prior technical partnerships experience, Familiarity with large-scale dataset design, Familiarity with evaluation frameworks, Familiarity with robotics data marketplaces
What You'll Do.
Collaborate with Client Partners
Scope technical pilots
Deliver technical pilots
Work closely with Engineering
Work closely with Product
Design robotics data capture solutions
Implement robotics data capture solutions
Implement sensors/rigs
Design teleop/UMI flows
Implement teleop/UMI flows
Design egocentric capture pipelines
Implement egocentric capture pipelines
Collaborate with customers' robotics teams
Collaborate with customers' ML teams
Understand customer architectures
Define data requirements
Define evaluation requirements
Design execution plans
Translate requirements into SOWs
Design customized demos
Design experimental workflows
Run experimental workflows
Showcase robotics data capabilities
Shorten time to production
Act as technical owner
Advise on data quality
Advise on data coverage
Advise on data evaluation
Collaborate with Project Leads
Align on success metrics
Support data collection programs
Bring feedback into product discussions
Bring feedback into roadmap discussions
Shape Robotics & Physical AI practice
Shape Robotics & Physical AI platform
Represent Innodata at events
Contribute as thought leader
Share learnings from robotics data work
How You'll Work.
Team & Collaboration
Cross-functional teams; Sales; Product; Engineering; Operations
Communication Scope
Presentation skills; Communication skills
Process & Methodology
Manage complex projects
Full Job Description
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: 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 model‑building teams, combining hands‑on robotics/data engineering with a customer‑facing, pre‑sales to post-sales mindset. You will design and showcase data capture solutions, lead technical pilots, samples, and demos, and help customers turn real‑world robotics problems into concrete datasets, pipelines, and evaluation strategies that unlock real model and business impact. This is a high‑visibility role that directly influences strategic deals and long‑term 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 (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 St
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