Shyld automates processes and optimizes workflow at hospitals and healthcare facilities to reduce cost and increase efficiency. Shyld deploys its physical AI agents throughout the facility and uses Edge AI to fully automate UV-C disinfection and prevent infections from spreading throughout the facility.
Shyld automates processes and optimizes workflow at hospitals and healthcare facilities to reduce cost and increase efficiency. Shyld deploys its physical AI agents throughout the facility and uses Edge AI to fully automate UV-C disinfection and prevent infections from spreading throughout the facility.
Consumer ProductsData and AnalyticsDeepTechHardwareInformation TechnologyManufacturingSoftware
$625M
Company Overview
Problem Domain
Healthcare-associated infection control and clinical/operational workflow optimization in hospitals and healthcare facilities.
Industry
Hospitals and Health Care
Funding Track Record
Seed
Crunchbase lists one funding round (Seed) and names Plug and Play as an investor; public pages obfuscate dates and amounts.
Investor Signal
“Plug and Play participation in Seed round”
Founders
What we do
Join the Team
Software QA Engineer - Remote (US-based)
RemoteUS
Remote • US
Summary
As a
Software QA Engineer (Robotics & Safety-Critical Systems)
, you’ll drive quality across our robotics + edge + cloud stack, with a strong focus on
safety, performance, and release readiness
. You’ll translate real-world behaviors into repeatable test cases, establish measurable quality signals, and help the team ship confidently.
This is a
remote, US-based
role with
occasional travel (as needed)
for on-site validation, deployments, or system testing.
What You’ll Do
Required Qualifications
Preferred Qualifications
Experience testing
camera systems
(highly preferred): camera pipelines, FPS/latency, reliability in varied lighting/environments, data integrity checks.
Experience with CI pipelines (GitHub Actions or similar).
Familiarity with Docker-based test environments.
API testing experience (REST/gRPC), test doubles/mocking.
Experience with edge devices (Jetson, Raspberry Pi, or similar) is a plus.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Own QA strategy and execution for robotics/edge + cloud components (manual + automated).
Create and maintain test plans covering
functionality, safety, reliability, and performance
.
Build automated tests (where appropriate) and ensure regressions are caught in CI.
Define and track
performance KPIs
and quality metrics (e.g., latency, throughput, failure rates, crash rates, CPU/memory usage, camera pipeline FPS, deployment success rate).
Produce
trend-oriented QA reporting
: dashboards/weekly reports, anomaly detection, regression trends, and release quality summaries.
Perform structured bug triage: clear reproduction steps, severity/impact, root-cause signals, and verification of fixes.