Platform Engineer

About Menlo Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable -- turning software into physical labor at scale. We build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure. We move fast, ship to real robots, and open-source everything we can. If you want your work to matter beyond a paper or a demo, this is the place. The Role We are looking for a Platform Engineer to build and maintain the infrastructure and data systems that power Asimov and Menlo 's developer platform. You will work across cloud infrastructure, data pipelines, and production APIs -- keeping our systems reliable, scalable, and fast as our robot fleet and developer ecosystem grow. This is a hands-on engineering role for someone who is as comfortable debugging a flaky pipeline as they are designing a new ingestion architecture. What You'll Do Build and maintain distributed infrastructure handling telemetry, sensory, and control data across cloud and edge environments Design and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, joint states, audio, and LiDAR Develop and maintain backend services and APIs that power Menlo 's developer-facing platform, with a focus on reliability and developer experience Manage and evolve cloud native infrastructure using Kubernetes, Docker, and infrastructure as code tooling Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response Support ML and robotics teams with data infrastructure for training pipelines, policy rollout, and hardware-in-the-loop simulation Implement secure APIs with access control, rate limiting, and usage metering as we scale What You'll Bring 4 or more years of professional software engineering experience in platform, infrastructure, or data engine