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Tech Lead, Software Infrastructure and Fleet Management

Mind Robotics· Software Engineering
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Palo AltoFull-timePosted 2mo ago

About the role

Tech Lead responsible for software systems enabling fleet deployment, CI/CD, and observability for Mind Robotics' field-deployed robots. IC-heavy role focusing on building and owning tooling to safely and reliably deploy robotics software at scale, with support from a DevOps engineer.

Responsibilities

  • Architect fleet-wide deployment: OTA package delivery, versioned rollouts, staged/canary release, rollback strategies, and configuration management across heterogeneous robot hardware in the field, working with the firmware team, who own the on-robot update process
  • Build observability for the fleet: diagnostics, monitoring, and alerting that surface robot and deployment issues early, with the logging infrastructure and visualization tooling behind them
  • Own the build system (Bazel, SCons, Buck2, or similar) that produces reproducible, versioned software packages for engineering use and production robot deployment, including dependency management and build performance
  • Contribute to and interface with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) test infrastructure, and build the pre-deployment validation gates that use its results to catch failures before they reach a live site
  • Build and evolve the fleet management platform to track robot inventory, software/config versions, health state, and deployment status across every unit and site
  • Own CI/CD pipelines that gate deployment on more than unit tests, from build system through OTA package creation, deployment, and status monitoring
  • Set technical standards and do deep design/code review across deployment, testing, and dev ops

Qualifications

  • Strong software engineering in Python and/or Rust/C++, with experience building tooling and services that improve developer productivity
  • Experience building backend services and APIs for device fleets: artifact storage, OTA package creation, versioning schemes, staged rollout and rollback orchestration, device state tracking, and remote configuration management across many physical devices
  • Experience with system test infrastructure for hardware-attached software — hardware-in-the-loop testing, simulation-based regression suites (Isaac Sim, Gazebo, MuJoCo, or similar), and CI/CD pipelines that gate on more than unit tests
  • Observability engineering for edge/field deployments: telemetry pipelines, structured logging, and alerting
  • Build and packaging systems (Bazel, SCons, Buck2, or similar), containerization, and edge orchestration (Docker, and edge-appropriate orchestration/agent frameworks) for building and deploying software onto heterogeneous robot compute
  • Track record of taking deployment/testing systems from ad hoc to reliable, repeatable process as the number of deployed units and sites grows

Skills

Required:Programming in PythonProgramming in Rust/C++Backend services for device fleetsSystem test infrastructure (HIL/SIL)Observability engineeringBuild/packaging systems (Bazel/SCons/Buck2)Containerization/edge orchestration

Benefits

  • Not specified in description
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Mind Robotics

Physical AI for the Real World

Mind Robotics is building intelligent robotics for industrial deployment. We believe the fastest path to broadly capable robots is through clearly defined, high-impact environments. We are starting where the need is most.

roboticsindustrial deploymentPhysical AImanufacturing
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