Software QA Engineer, Supervisory Control Platform

AutoStore™ holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That’s how we help brands exceed customer expectations.

We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry’s most complex needs. With AutoStore™, brands gain speed, efficiency, and improved workplaces. And much more floor space.

AutoStore – moving things forward.

The Role:

This opportunity has arisen due to the expansion of our software engineering organization. This is a hands-on software quality assurance role in our engineering organization, with the title of Software QA Engineer, Supervisory Control Platform. This role is accountable for validating software quality, reliability, integration readiness, and release confidence for the platform.

You will test software for the Supervisory Control Platform with a strong focus on Computer Vision products and applications, including vision-enabled workflows, image/video processing pipelines, detection and classification behaviours, platform services, APIs, messaging flows, 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 across Software Engineering, Product, Architecture, Controls, Cloud, DevOps, 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, DevOps, and integration partners.

Key responsibilities:

• 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, image/video examples where relevant, 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.
• Work closely with developers, Computer Vision engineers, architects, product managers, DevOps, controls engineers, and integration partners to ensure requirements are testable and releases meet quality expectations.

Key Qualifications:

• 3+ years of experience in software quality assurance, software testing, or test automation.
• Experience testing Computer Vision products, applications, image/video processing workflows, camera-enabled systems, AI/ML-enabled applications, or comparable 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, expected output criteria, 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.

Preferred Qualifications:<