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Atlanta, Georgia, United States
Onsite
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.
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:
Computer Vision, image processing, video analytics, AI/ML application testing, camera systems, perception software, or visual inspection product experience.
Warehouse automation / robotics / intralogistics background, including WES, WMS, WCS, AutoStore, ASRS, or comparable systems.
Experience testing software that interacts with independently owned control-system, orchestration, Computer Vision, or warehouse execution components.
Experience improving automated test coverage, regression reliability, release quality, and defect prevention at scale.
Warehouse logistics, automation, robotics, or intralogistics domain experience is strongly preferred.
Competencies:
Strong understanding of software testing methods, including functional, integration, regression, performance, reliability, API, end-to-end, and Computer Vision application testing.
Hands-on experience with test automation tools, API testing tools, CI/CD pipelines, defect tracking systems, logging, monitoring, and observability tools.
Working knowledge of Computer Vision testing concepts such as image/video input validation, expected output comparison, dataset coverage, edge cases, false-positive/false-negative analysis, latency, throughput, and environmental variability.
Technical understanding of distributed systems, messaging, APIs, data contracts, cloud connectivity, deployment workflows, and production-readiness validation.
Strong communication and collaboration skills, with the ability to explain quality risks, defects, and release readiness clearly to technical and non-technical stakeholders.
Detail-oriented mindset with a strong focus on quality, reliability, and customer impact.
Ability to manage multiple priorities, investigate complex issues, and work effectively in a fast-paced engineering environment.
Proactive approach to improving test coverage, automation, defect prevention, and release confidence.
Comfortable partnering with engineering teams during planning, development, testing, release readiness, and post-release validation.
Location – Atlanta, USA
We Offer:
AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.
Comprehensive Medical, Dental, and Vision plans
Health Savings Account (HSA) with a company contribution
Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents
Retirement 401(k) plan with employer match and discretionary profit sharing contribution
Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders
Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!
AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
Recruitment Agencies:
AutoStore does not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes.