Principal Autonomous Test Engineer

**Who we are** With its A.I.\-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high\-density, end\-to\-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. **Principal Autonomous Test Systems Engineer** **Location:** Remote (US) · Periodic visits to our Integrated Testing Center in Wilmington, MA Symbotic builds AI\-powered robotic systems that automate the warehouse. Behind every system we ship is a test organization running real robots, rigs, and instrumentation at fleet scale. Today, that test data lives across teams, formats, and tools. We're hiring a principal engineer to bring it together: one pipeline, one schema, one automation framework, and dashboards our executive team reads every week. **This is a greenfield role. You'll define the architecture, not inherit it.** **What you'll do** * Build executive test dashboards our leadership uses to see the true state of testing across the company, without anyone assembling it by hand. * Design and own one versioned test data schema used by every test team, with pipelines from test rigs, DAQ, automated runs, and manual campaigns. * Architect the shared automation framework every test team builds on: orchestration, sequencing, result capture, and CI/CD. * Bring physical test environments—including rigs, fixtures, instrumentation, and hardware in the loop—into automated, end\-to\-end system integration testing. * Drive adoption with reference implementations, docs, and hands\-on enablement. * Equip our reliability team with the clean, traceable data they need to model how our systems age and wear. * Set the roadmap, make build vs. buy calls, and mentor senior engineers, growing into leading a small team of technical leads. **What you bring** * 12\+ years in test automation, test infrastructure, or data platform engineering for physical, electromechanical, or robotic systems. * A track record of adoption: A platform you built that teams outside your own adopted. (Tell us how many teams used it and how you got them there. * Hardware expertise: Hands\-on time with real hardware: DAQ, sensors, test rigs, HIL, and system integration. * Data fluency: Test or telemetry data modeling, time series data, and dashboards that non\-engineers actually use. * Technical stack: Strong Go and/or Python, CI/CD, containers, AWS, and API design. * Education: A Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. **Bonus points** * You've architected platforms in Go. * You've worked alongside reliability engineers on life or degradation modeling. **Why you'll like it here** * Greenfield: One platform for the whole test organization, defined entirely by you. * Visibility: Your first deliverable is read directly by executive staff. * Authority without overhead: You set the standards and inter