Senior Software Engineer, Lab Orchestration & Infrastructure

Radical AI

New York (NY)

On-site

USD 210,000 - 295,000

Full time

14 days+

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Job summary

Radical AI in New York is seeking a senior Software Engineer to own the core infrastructure behind our self-driving lab: the execution planner that orchestrates the physical lab, the backend services and APIs that manage its data, and the compute infrastructure powering simulations. The role demands reliability and scale for real lab samples and complex experiments.

You will report to the Director of Software Engineering and collaborate with roboticists and hardware engineers to set technical

Qualifications

7+ years of professional experience building and operating production backend systems.
Server-side experience in Go or Rust.
Experience building fault-tolerant distributed systems that handle concurrency, timeouts, retries and safe rollback.
Experience running Kubernetes in production with infrastructure as code (Pulumi preferred), and comfort debugging Linux hosts and networks.
Working knowledge of gRPC and Protocol Buffers, and of MongoDB or another document store.

Responsibilities

Own the execution planner that schedules every sample's path through the lab and resolves conflicts across actions from two-second arm moves to multi-day anneals.
Own the service that decides which software can use which instrument, moving it to durable execution to prevent downtime.
Build simulation and debugging tools to test planner changes and replay production problems.
Own the Go services and gRPC APIs that track samples, experiments, campaigns, and run simulation and training jobs on clusters.
Prepare the lab backend to run more than one lab and to deploy without downtime.
Run Kubernetes clusters on AWS and in the lab, defined in Pulumi and deployed with ArgoCD.
Schedule shared GPUs so ML training jobs stay busy.