The Role
The hardest problem in robotics is not the demo. It is the ten thousandth hour of operation. As OpenMind scales from lab prototypes to fleets deployed with enterprise customers, reliability becomes the product. You will build the testing, simulation, and observability infrastructure that tells us, every single morning, exactly how reliable our system is and what broke overnight.
You will be the person who asks "how many times did this fail per 10,000 hours" about every new feature, and you will build the automated systems that answer that question before code ever reaches a robot. You will be our first reliability engineer, and you will define how we measure, test, and guarantee reliability as our fleet scales.
What You Will Do
Build large-scale simulation pipelines that regression test every change against realistic deployed environments before release
Design and run structured reliability measurements: failure rates, mean time between failures, and degradation across hardware variants
Build fleet observability: telemetry ingestion, automated log collection, and AI-assisted scoring of robot performance at scale
Create the automated test harness that delivers a failure report on every engineer's desk each morning
Replay new software against our growing corpus of real-world deployment data to validate changes before they ship
Establish reliability and safety standards as we move into certifications, insurance requirements, and enterprise SLAs
What We Look For
Experience in reliability engineering, test infrastructure, SRE, or simulation for autonomous systems
Strong engineering fundamentals in languages such as Python, Go, and/or C++
Experience with robotics simulation environments (Isaac Sim, Gazebo, MuJoCo, or proprietary equivalents)
A demonstrated obsession with measurement: you do not trust a system until you have quantified how it fails
The interpersonal skill to hold a high bar without becoming the person everyone avoids. Rigor with warmth is the job
Nice to Have
Background at an autonomy company (self-driving, drones, industrial robotics) with real deployment scale
Experience with hardware-in-the-loop testing or CI/CD for embedded systems
Familiarity with data infrastructure for large-scale log analysis
