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Senior Robotics Data Engineer

Posted about 2 months ago

OfficeWarsaw, PolandSE
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 training.
    • Monitor continuous datastreams in real-time for distribution shifts, missing metadata, or schema violations.
    • 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
    ### What skills we'd like you to 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 and proficiency in one of modern programing languages (we use Python)
    • Experience in designing systems spanning software and hardware components
    •  
    ### What should you expect once you apply?
  • 60 minutes Coding Interview
  • 45 minutes Hiring Manager interview
  • Onsites - half a day of interviews & discussions at the office 
  • Important: Feedback after completing the recruitment process.
  • See a short sneak peek of our product here:
     
     
     
     
    Job details
    Workplace
    Office
    Location
    Warsaw, Poland
    Experience
    SE

    Nomagic engineers Physical AI systems that automate the flow of goods through warehouses with unprecedented increases in speed, accuracy, and throughput for scalable and consistent business growth.

    Employees
    185
    Industry
    Robotics Engineering
    Headquarters
    Warsaw, Mazowieckie
    Founded
    2017
    Company location
    Rakowiecka 36, Warsaw, Mazowieckie 02-532, PL
    Specialties
    Robotics, Artificial Intelligence, Logistics, E-commerce, Software, Cloud, Machine Learning, Automation, Supply-chain, warehouseautomation, and binpicking

    Key team members

    Carl Showalter

    Carl Showalter

    Christian Siegele

    Christian Siegele

    Marie-Axelle Loustalot-Forest

    Marie-Axelle Loustalot-Forest

    Claudia Beer

    Claudia Beer

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