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Kerja Sepenuh Masa, Lead Software-Data Infrastructure Engineer, Embodied AI Centre (EAIC) di A*STAR - Agency For Science, Technology And Research - Maukerja

Lead Software-Data Infrastructure Engineer, Embodied AI Centre (EAIC)

A*STAR - Agency For Science, Technology And Research

Singapore

Kongsi
Simpan

Lokasi Kerja

  • Singapore

Penerangan Kerja

Tanggungjawab

Singapore's Embodied AI Centre (EAIC) is a new national initiative under the RIE2030 Manufacturing, Trade and Connectivity domains to establish Singapore as a leading robotics and embodied AI hub. EAIC brings together research and industry partners to build engineering and R&D capabilities, advance trusted evaluation, benchmarking and validation of embodied AI models and robotics solutions, and promote an open and interoperable ecosystem that accelerates adoption in real-world applications.

As the Lead for Software/Data Infrastructure, you will set the technical direction and lead the delivery of EAIC's software platforms, data infrastructure and shared engineering systems. You will guide a multidisciplinary team in building reliable and scalable foundations for embodied AI research, experimentation, evaluation and deployment.

Job Description

  • Lead the architecture, development and delivery of EAIC software platforms, data infrastructure and shared engineering services.
  • Oversee full-stack applications, APIs, data pipelines, storage platforms, integrations and operational tooling.
  • Define engineering standards for software development, data quality, testing, security, deployment, observability and documentation.
  • Partner with AI/robotics and hardware teams to define system interfaces and enable reliable data flow across the embodied AI lifecycle.
  • Manage the technical roadmap, priorities, resources and delivery risks across software and data infrastructure workstreams.
  • Mentor software and data engineers and strengthen engineering capability within the team.

Job Requirements

  • Demonstrated experience designing, building and operating production-grade software platforms or data-intensive systems.
  • Strong software engineering foundation, with experience in scalable APIs, databases, data pipelines and system architecture.
  • Experience leading multidisciplinary engineering projects, technical workstreams or software/data infrastructure teams.
  • Ability to translate research, operational and stakeholder needs into practical technical roadmaps and integrated solutions.

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