Platform Lead
MenloSingapore, Singapore
Posted March 10, 2026
Full Time
About the Company
Menlo Inc. is the parent company of K12itc and Civic ITC, delivering comprehensive technology services and solutions to schools and community organizations across the United States. The company specializes in K‑12 technology support, 24/7 help desk and network monitoring, as well as virtualization and infrastructure-as-a-service offerings that ensure reliable, secure operations. Menlo’s focus on civic technology support and managed services demonstrates its commitment to empowering public institutions with modern, scalable IT solutions. By combining deep expertise in education and civic sectors with proactive, around‑the‑clock support, Menlo distinguishes itself as a trusted partner for institutions seeking resilient, future‑ready technology infrastructures.
Job Description
We are looking for a Platform Lead to own and evolve the full infrastructure stack that powers both our humanoid robotics fleet and our developer facing AI platform.
Requirements
- Architect and scale distributed systems that handle petabytes of sensory, telemetry, and control data across cloud and edge environments, connecting fleets of robots in real time.
- Design and build the Menlo API Platform, delivering high reliability, world class developer experience, and production grade multimodal AI capabilities via intuitive APIs and SDKs.
- Build large scale training and inference platforms for multimodal foundation models powering robot autonomy, teleoperation, and developer integrations.
- Design data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, LiDAR, joint states, and audio.
- Manage and evolve a modern cloud native infrastructure stack using Kubernetes, Docker, and infrastructure as code tooling.
- Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery mechanisms.
- Lead infrastructure decisions spanning distributed storage, consensus protocols, GPU orchestration, network reliability, and API security.
- Collaborate across ML, robotics, and product teams to support hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows.
- Implement secure APIs with fine grained access control, usage metering, rate limiting, and billing integration as we scale to serve millions of users.
