Software QA Engineer, Supervisory Control Platform

Overview

Auto Store holds a simple vision: to store and move things for everyone, everywhere. We are a global technology company focused on automating and orchestrating order fulfillment. Our aim is faster, more reliable delivery with minimal environmental impact, supported by a network of 1600+ systems in nearly 60 countries. We innovate to meet industry needs by listening to our community and combining software with hardware to improve warehouses and workplaces.

This opportunity has arisen due to the expansion of our software engineering organization. This is a hands-on Software QA Engineer role in our Supervisory Control Platform team. You will validate software quality, reliability, integration readiness, and release confidence for the platform, with a strong focus on Computer Vision products and applications.

You will test software for the Supervisory Control Platform, including vision-enabled workflows, image/video processing pipelines, detection and classification behaviours, platform services, APIs, messaging, integrations, and end-to-end connectivity from on-premise warehouse systems to cloud services. The role ensures test coverage, defect visibility, release readiness, and close collaboration with Software Engineering, Product, Architecture, Controls, Cloud, Dev Ops, Computer Vision, and integration partners. This role reports to the Software Engineering Manager and partners with Software Engineering, QA, Controls, Warehouse Execution and Management Software teams, Product, Dev Ops, and integration partners.

• Define and execute test plans for Computer Vision applications, image/video processing workflows, detection and classification behaviours, camera-to-software integration, and product-specific user scenarios.
• Validate Computer Vision software across representative datasets, environmental conditions, edge cases, performance thresholds, false positives/false negatives, and real-world warehouse operating scenarios.
• Build and improve automated test coverage across Computer Vision applications, APIs, services, integrations, regression suites, and CI/CD pipelines.
• Identify, document, reproduce, and track software defects with clear evidence, severity, impact, and validation criteria.
• Support quality gates, test reporting, risk assessment, and go/no-go input for Computer Vision product releases and platform releases.
• Test the full software flow across Computer Vision applications, platform components, control-system interfaces, warehouse execution systems, and cloud connectivity.
• Validate secure, reliable, and observable connectivity between on-premise warehouse systems, Computer Vision components, and cloud-based platform services.
• Collaborate with developers, Computer Vision engineers, architects, product managers, Dev Ops, controls engineers, and integration partners to ensure requirements are testable and releases meet quality expectations.

• 3+ years of experience in software quality assurance, software testing, or test automation.
• Experience testing Computer Vision products, image/video processing workflows, camera-enabled systems, AI/ML-enabled applications, or similar perception-based software is strongly preferred.
• Experience testing APIs, backend services, distributed systems, middleware, or platform software.
• Strong understanding of test planning, test case design, regression testing, integration testing, defect management, and release validation.
• Hands-on experience with automated testing frameworks, CI/CD pipelines, test data management, and quality reporting.
• Ability to validate software behaviour using representative datasets, image/video samples, edge-case scenarios, and measurable quality thresholds.
• Experience validating cloud platforms, hybrid connectivity, observability, logs, monitoring signals, or deployment workflows is preferred.
• Ability to work independently with developers and stakeholders to clarify requirements, identify risks, and ensure software is ready for production use.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

• Com…