Nomagic
AI
SeniorRoboticsDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Robotics Data Engineer at Nomagic. Skills: Robotics, Data Engineering, AI, Vision Systems. Maintain healthy data streams including vision systems, robot telemetry, and other modalities running in production. Implement data versioning and metadata tagging to ensure complete dataset reproducibility”
What You'll Achieve.
Make sure our vision systems produce high-quality, reliable data for training of foundational models
Industry & Context.
Great problem solving
What They're Looking For.
Must Have
Experience with creating and maintaining large datastreams, preferably for AI training applications, Proven track record of working with vision systems and a deep understanding of the fundamentals (e. g. camera intrinsics, extrinsics, exposure, gain, etc), Technical leadership skills & experience, Great problem solving, Proficiency in one of modern programing languages (we use Python), Experience in designing systems spanning software and hardware components
Nice to Have
Knowledge of foundational models, Knowledge of Visual-Language-Action models
What You'll Do.
Maintain healthy data streams including vision systems
and other modalities running in production
Implement data versioning and metadata tagging to ensure complete dataset reproducibility
Architect flexible schemas that adapt to new sensor inputs or modalities without breaking downstream training
Ensure precise synchronization between images and action tokens or telemetry
Develop programmatic filters to flag
or incomplete data before training
Monitor continuous datastreams in real-time for distribution shifts
Develop systems for automatic camera calibration
automatic configuration
easy system maintainability and more
Innovate on our hardware setup
experiment with new cameras
develop novel approaches
Work closely with the foundational AI research team (Visual-Language-Action models) to provide high quality data for the next generation of robotics
How You'll Work.
Team & Collaboration
Cooperate with top professionals in our industry; Work closely with the foundational AI research team
Full Job Description
## Description Do you get excited when your software actually interacts with the physical world? Are you ready to learn the new exciting world of smart robots? Do you feel tired of working in a big company? Would you like to cooperate with top professionals in our industry? If your answers are mostly yes, then you should keep reading. At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for a Senior Robotics Data Engineer, who will make sure our vision systems produce high-quality, reliable data for training of foundational models. ## Offer essentials Play with robots every day! Salary: 26 000 - 32 000 gross UoP per month + equity Equity for every employee Relocation package Truly flexible working hours English-speaking environment Partly remote work is possible! ## Here is why we love this job ourselves, and hope you will enjoy it too We build robots powered by AI We have them in production at scale and see their real impact on critical operations. We test our code in unit tests, simulations and on real robots! We’re still pretty small, so everyone has a direct impact on the final result Our team has built Google Warsaw, unicorn startups (Climate Corp), led research in DeepMind, tested rocket engines and worked at top companies such as Nvidia or ByteDance. Now we shape the future of Physical AI together! We combine world-class research with top-notch engineering and apply it to solve real problems ## Some of the problems you may try to solve with us Maintain healthy data streams including vision systems, robot telemetry, and other modalities running in production Implement data versioning and metadata tagging to ensure complete dataset reproducibility. Architect flexible schemas that adapt to new sensor inputs or modalities without breaking downstream training. Ensure precise synchronization between images and action tokens or telemetry. Develop programmatic filters to flag, discard corrupted, blurry, or incomplete data before trai
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