Principal Autonomous Test Engineer

Exol•Wilmington, MA

1d•$180,000 - $247,500•Remote

About The Position

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.

Requirements

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.
A Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

Nice To Haves

You've architected platforms in Go.
You've worked alongside reliability engineers on life or degradation modeling.

Responsibilities

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.