Luxoft, in partnership with AMD, is seeking skilled QA Automation Engineers to join a team dedicated to validating next-generation visual computing technologies at scale. This group builds automated systems that verify visual outputs - images, videos, and real-time game scenes - across a wide range of GPU hardware and rendering pipelines.

As part of the Software QA Test Automation organization, you will design and evolve tooling that performs pixel-accurate and perceptual-based comparisons, automate visual regression workflows, and integrate these systems deeply into CI. You will develop and maintain frameworks for large-scale dataset inspection, automated artifact analysis, and visual quality benchmarking.

In this role, you will collaborate closely with Graphics, ML, and Rendering teams to ensure that cutting-edge GPU features meet the highest quality bar. You will evaluate emerging technologies, prototype validation strategies, and remove barriers to large-scale automated testing. Senior engineers will additionally partner with Dev, QA, and Program Management across new initiatives to identify automation opportunities and drive end-to-end quality improvements.

This position is ideal for engineers passionate about computer graphics, visual fidelity, and automation at scale - and who want hands-on access to state-of-the-art hardware, often before it reaches the market.

• Define technical strategy for dataset validation, visual inspection tooling, and CI-based visual regression.
• Architect and implement scalable QA infrastructure (data pipelines, tooling, services).
• Lead development of internal apps for dataset classification, clustering, visualization, and automated checks.
• Oversee benchmarking workflows: capture problematic sequences, compare model snapshots to baselines, and quantify regressions.
• Integrate QA checks into CI/CD pipelines and enforce quality gates.
• Mentor senior and junior engineers; conduct code reviews and set best practices.
• Coordinate cross-team efforts with research, production, and engineering stakeholders.
• Prioritize engineering work to maximize quality coverage and reduce manual effort.