Innodata Inc.
Robotics Solutions Engineer – Robotics Data Collection & Physical AI
About this role
Innodata seeks a Robotics Solutions Engineer to serve as a technical bridge between the company and cutting-edge robotics customers, designing and delivering physical AI data capture solutions. You'll lead technical pilots, demos, and POCs while collaborating across engineering, product, and customer teams to translate robotics challenges into scalable datasets and evaluation strategies.
What you'll do
- Design and execute technical pilots and POCs with robotics customers to secure technical wins
- Develop robotics data capture solutions including sensors, teleoperation flows, and simulation pipelines
- Collaborate with customer ML teams to understand their AI architectures and define data requirements
- Create customized demos and experimental workflows showcasing robotics data capabilities
- Serve as technical owner of customer experience by debugging issues and advising on data quality best practices
- Provide customer feedback to internal product and roadmap discussions
What they're looking for
- Python and additional languages (C++, Java) for robotics/ML
- Robotics engineering and Physical AI systems experience
- Teleoperation and simulation systems knowledge
- Robotics data pipelines and perception/control stacks
- Linux-based environment proficiency
- Technical problem-solving and systems integration
- Customer-facing communication and pre-sales mindset
- Project scoping and technical documentation
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Innodata Inc.
Innodata builds AI data infrastructure and solutions, specializing in LLM post-training pipelines, physical AI datasets for robotics, and audio/speech datasets for foundation models. The company is hiring AI/ML engineers, robotics solutions specialists, research engineers, and audio engineers to design data systems, evaluation frameworks, and quality assurance processes that enable cutting-edge AI model development.
View all jobs at Innodata Inc.Likely interview questions
- Walk us through a robotics or Physical AI project you've worked on—what was the data pipeline, and how did you handle real-world vs. simulation data capture?
- Describe your experience with teleoperation systems or sensor integration. How have you debugged data quality issues in a robotics workflow?