Robotics & Physical AI Solutions Architect

Location: Remote (US)

Who we are:

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2000 customers and operations in 13 cities around the world we are the AI technology solutions provider-of-choice to 4 out of 5 of the worlds biggest technology companies as well as leading companies across financial services insurance technology law and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies a global workforce of subject matter experts and a high-security infrastructure were helping usher in the promise of clean and optimized digital data to all industries. Innodata offers a powerful combination of both digital data solutions and easy-to-use high-quality platforms.

Our global workforce includes over 3000 employees in the United States Canada United Kingdom the Philippines India Sri Lanka Israel and Germany. Were poised for a period of explosive growth over the next few years.

About the Role

(Combined Technical Customer-Facing Role)

We are building a Robotics & Physical AI team focused on systems that perceive reason and act in the physical world. Our mission is to design collect and evaluate the data that powers frontier robotics and humanoid foundation models. We are looking for a solutions architect who can translate realworld robotic and embodiedAI problems into highvalue datasets data pipelines and evaluation strategieswhile also acting as a trusted technical partner for our customers model and product teams.

Key Responsibilities

• Design Physical AI problem formulations that map realworld robotic behavior into concrete data and evaluation requirements for training policies world models and perception systems.

• Prototype perception worldmodel and actionrepresentation 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/Omniversestyle tools) to generate stresstest 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 teacherfollower demonstrations imitation learning) and evaluation benchmarks that tie to model performance and business outcomes.

• Lead technical discovery and presales pilots: scope projects design experiments and secure the technical win by demonstrating uplift from our data annotations and pipelines.

• Collaborate with internal datacollection 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 PhysicalAI use cases (manipulation mobile navigation teleoperation humanrobot 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.

What were looking for

• Strong background in robotics computer vision or embodied / Physical AI with experience building or training real robotic or simulationbased systems.

• Systemslevel mindset: able to move from physical task model behavior data representation metrics and explain tradeoffs clearly to both engineers and product leaders.

• Familiarity with world models imitationlearning or teleoperation pipelines simulationbased workflows or synthetic data generation for robotics.

• 3 years of handson development in Python and at least one of C/Java or similar languages used in robotics or ML engineering.

• Comfort operating in ambiguous earlystage problem spaces; you can rapidly scope MVP solutions and iterate with customers.

• Clear technical communication and a customerfacing solutionarchitect mindsetable to run whiteboard sessions lead workshops and collaborate directly with foundationmodel builders and robotics teams on data and technical requirements.

• Strong projectmanagement and ownership skills: you can drive pilots from idea to delivery coordinate across internal teams and keep technical and commercial goals aligned.

Nice to have

• Experience with real robotic platforms (humanoids manipulators mobile robots) or advanced simulators and digitaltwin platforms.

• Experience designing largescale datasets annotation schemes (e.g. affordances action labels dense CV annotations) or evaluation pipelines for robotics/PhysicalAI models.

• Prior solutionsengineering presales or consulting experience with technical customers especially in frontier robotics or autonomous systems.

• Contributions to opensource robotics/ML projects technical blogs or publications that demonstrate handson prototyping dataset design or applied research.

Application note

We strongly encourage candidates to include links to GitHub repositories technical blog posts opensource contributions or publications that showcase their work in robotics Physical AI data pipelines and evaluation frameworks.

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