Innodata Inc. · 10 hours ago
Robotics & Physical AI Solutions Architect
Innodata Inc. is a leading data engineering company that provides AI technology solutions to major global corporations. They are seeking a Robotics & Physical AI Solutions Architect to design and evaluate data that powers robotics and humanoid models while collaborating with customers' teams to define data specifications and evaluation benchmarks.
Telecom & CommunicationsArtificial Intelligence (AI)Enterprise SoftwareBig DataInformation TechnologyAnalyticsInternetMachine Learning
Responsibilities
Design Physical AI problem formulations that map real‑world robotic behavior into concrete data and evaluation requirements for training policies, world models, and perception systems
Prototype perception, world‑model, and action‑representation pipelines (e.g., VLMs, VLAs, world models) to understand what data is needed, why it matters, and how quality will be measured
Use simulation and synthetic environments (digital twins, Isaac/Omniverse‑style tools) to generate, stress‑test, and scale datasets for robotics and humanoid systems, grounded in real sensors, tasks, and constraints
Work directly with customers’ robotics and ML teams to define data specifications, collection strategies (egocentric capture, teacher‑follower demonstrations, imitation learning), and evaluation benchmarks that tie to model performance and business outcomes
Lead technical discovery and pre‑sales pilots: scope projects, design experiments, and secure the “technical win” by demonstrating uplift from our data, annotations, and pipelines
Collaborate with internal data‑collection and platform teams to design robust data pipelines, annotation workflows (including affordances and advanced CV labels), and QA processes that generalize across customers
Develop reusable playbooks, reference architectures, and demos for common Physical‑AI use cases (manipulation, mobile navigation, teleoperation, human‑robot interaction) to accelerate future engagements
Influence the product and tooling roadmap by bringing structured feedback from frontier robotics customers, and help shape a scalable “Robotics & Physical AI data platform.”
Represent the company at key industry events and workshops, evangelizing best practices for robotics data, simulation, and evaluation and helping build a broader data and partner ecosystem
Qualification
Required
Strong background in robotics, computer vision, or embodied / Physical AI, with experience building or training real robotic or simulation‑based systems
Systems‑level mindset: able to move from physical task → model behavior → data representation → metrics, and explain trade‑offs clearly to both engineers and product leaders
Familiarity with world models, imitation‑learning or teleoperation pipelines, simulation‑based workflows, or synthetic data generation for robotics
3+ years of hands‑on development in Python and at least one of C++/Java or similar languages used in robotics or ML engineering
Comfort operating in ambiguous, early‑stage problem spaces; you can rapidly scope MVP solutions and iterate with customers
Clear technical communication and a customer‑facing solution‑architect mindset—able to run whiteboard sessions, lead workshops, and collaborate directly with foundation‑model builders and robotics teams on data and technical requirements
Strong project‑management and ownership skills: you can drive pilots from idea to delivery, coordinate across internal teams, and keep technical and commercial goals aligned
Preferred
Experience with real robotic platforms (humanoids, manipulators, mobile robots) or advanced simulators and digital‑twin platforms
Experience designing large‑scale datasets, annotation schemes (e.g., affordances, action labels, dense CV annotations), or evaluation pipelines for robotics/Physical‑AI models
Prior solutions‑engineering, pre‑sales, or consulting experience with technical customers, especially in frontier robotics or autonomous systems
Contributions to open‑source robotics/ML projects, technical blogs, or publications that demonstrate hands‑on prototyping, dataset design, or applied research
Company
Innodata Inc.
(NASDAQ: INOD) Innodata is a global data engineering company. We believe that data and AI are inextricably linked.
H1B Sponsorship
Innodata Inc. has a track record of offering H1B sponsorships. Please note that this does not
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2024 (2)
Funding
Current Stage
Public CompanyTotal Funding
unknown1993-08-01IPO
Leadership Team
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