G

Genesis

London

Data Infrastructure

Full Timeاليوم
Engineering & Research

وصف الوظيفة

What You’ll Do

  • Design, build, and maintain large-scale data pipelines (batch and streaming) for robotics foundation model training and evaluation at petabyte scale

  • Own core data infrastructure: data model, storage systems, ingestion pipelines, transformation frameworks, and orchestration layers

  • Standardize data models and unify processing pipelines across real-world teleoperation and synthetic simulation datasets

  • Collaborate with a team of driven individuals committed to building general-purpose Physical AI

What You’ll Bring

  • Excellent software engineering skills (Python, Go, or similar)

  • Extensive experience designing, building, and maintaining large-scale data pipelines (8+ years)

  • Deep understanding of distributed systems (Spark, Kafka, or similar)

  • Extensive experience with data storage technologies (data lakes, warehouses, object stores like S3)

  • Experience running and maintaining production-grade infrastructure (Kubernetes, Terraform)

  • Bonus: Experience supporting AI systems, in particular embodied AI like self-driving

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كيفية التقديم

مستعد للتقديم على هذه الوظيفة؟ إليك ما تحتاجه:

  • سيرة ذاتية محدّثة تبرز خبرتك ذات الصلة
  • A compelling cover letter (if required)
  • Portfolio or work samples (for relevant positions)

عن Genesis

G

Genesis

London

الأسئلة الشائعة

Where is the Data Infrastructure position at Genesis located?

The Data Infrastructure role at Genesis is based in London.

What type of employment is the Data Infrastructure role at Genesis?

This Data Infrastructure position is offered as Full Time.

What skills are needed for the Data Infrastructure role at Genesis?

Key skills and focus areas for this role include Engineering & Research.

How do I apply for the Data Infrastructure position at Genesis?

You can apply for the Data Infrastructure role at Genesis directly from this page. Create a professional, ATS-ready resume with Clever CV to strengthen your application before you apply.

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