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

A*STAR Research; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Embodied AI Centre (EAIC) at A*STAR invites a seasoned software and data infrastructure leader to guide the technical direction of its EAIC software platforms, data pipelines and shared engineering systems. You will mentor engineers and define interfaces with AI/robotics teams, steering delivery across software and data infra workstreams to enable rapid research and deployment.

This role requires translating research and stakeholder needs into practical roadmaps and scalable solutions, with a

Qualifications

• Designed, built and operated production-grade software platforms or data-intensive systems.
• Strong foundation in scalable APIs, databases and data pipelines.
• Experience leading multidisciplinary engineering projects and roadmaps.
• Ability to translate research and stakeholder needs into practical technical plans.

Responsibilities

• 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.

Skills

Full-stack development

APIs

Data pipelines

System architecture

Leadership

Job description

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.