Senior Quality Assurance Engineer, Device

Hayden AISan Francisco, CA
5h

About The Position

As a Senior Quality Assurance Engineer at Hayden AI, you will drive quality through well-defined testing processes and disciplined release management for embedded software deployed in real-world transportation environments. You will be responsible for establishing and executing manual and automated test strategies, defining quality gates, managing regression cycles, and ensuring release readiness across embedded software versions. You will own the end-to-end quality process for embedded software releases, including test planning, risk assessment, defect triage, release sign-off, and post-release validation. Working closely with Software Engineers, Product Managers, and Operations teams, you will embed quality into the development lifecycle, improve testing workflows, and support reliable field deployments through structured validation and continuous process improvement.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • 7+ years of experience in Quality Assurance, Test Engineering, or Software Engineering in Test
  • Experience testing devices, embedded systems, or IoT platforms
  • Strong proficiency in Python for building and maintaining automated test frameworks
  • Solid understanding of SDLC, CI/CD pipelines, and automation-first QA methodologies

Responsibilities

  • Support field deployments by validating device stability, performance, and environmental reliability before and after releases.
  • Build and execute automated and manual test suites within CI/CD pipelines to enforce quality gates for embedded software releases
  • Own end-to-end quality for critical embedded software components and lead the planning, execution, and sign-off of software releases using a combination of structured manual testing and automation-driven test approaches.
  • Drive the embedded software release process, including test strategy definition, schedule alignment, risk assessment, go/no-go decisions, and coordination across engineering, product, and operations teams.
  • Define, execute, and continuously improve test strategies for embedded software, edge devices, and system-level integrations.
  • Design, develop, and maintain Python-based automated test frameworks to support regression, smoke, and release validation testing.
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