About The Position

The Senior Platform Engineer will independently design and operate knowledge graph systems that encode industry-specific and domain-specific knowledge for SAP’s Physical AI platform. The role works with Physical AI engineers, product teams, and domain experts to translate vertical knowledge requirements into scalable, reliable knowledge infrastructure. The engineer provides technical documentation and best-practice guidance and mentors engineers who depend on this layer. The position owns the knowledge infrastructure that enables Physical AI to function in specific industry contexts and serves as a technical reference point for data science and engineering colleagues. It involves collaboration across global teams, sharing expertise, contributing to capability improvements, and raising data and engineering standards. The role emphasizes accountability and ownership of the knowledge layer that gives Physical AI its industry intelligence.

Requirements

  • Strong expertise in data science and knowledge engineering.
  • Hands-on experience building industry-specific and domain-specific knowledge graphs.
  • Ability to design scalable knowledge infrastructure.
  • Ability to balance quality with delivery speed.
  • Ability to apply rigorous data modeling principles.
  • Strong problem-solving skills.
  • Confidence leading technical discussions and mentoring others.

Responsibilities

  • Independently design and operate knowledge graph systems for the Physical AI platform.
  • Translate industry-specific and domain-specific knowledge requirements into scalable, reliable knowledge infrastructure in collaboration with Physical AI engineers, product teams, and domain experts.
  • Provide technical documentation and best-practice guidance.
  • Mentor engineers who depend on the knowledge infrastructure.
  • Own the knowledge infrastructure that enables Physical AI to function within specific industry contexts.
  • Serve as a technical reference point for data science and engineering colleagues.
  • Collaborate across global teams, share expertise, contribute to capability improvements, and raise data and engineering standards.

Benefits

  • Flexible working models
  • Health and well-being focus
  • Inclusive culture
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