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QA Engineer - Visual Inspection & Gameplay
Successfully
Req. VR-119093
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.
Carry out manual visual QA sessions across games and graphical scenes to validate model or renderer outputs.
Play through sequences, record and annotate visual artifacts, temporal glitches, and regressions.
Use and provide feedback to visualization tools to speed manual inspection (frame viewers, side-by-side comparisons).
Reproduce and document issues for engineering teams with clear reproduction steps, artifacts, and metadata.
Provide labeled examples and curated sequences for benchmark suites and automated tests.
Work with automation engineers to prioritize cases for automation and help tune detection thresholds.
Assist in dataset curation and sanity checks for training and evaluation datasets.
Must have
Strong visual attention to detail and ability to spot subtle visual defects.
Comfortable with capturing, annotating, and documenting visual artifacts (screenshots, videos, frame ranges).
Basic scripting ability (Python or shell) to automate repetitive capture tasks and manipulate media files.
Good communication skills to describe visual issues to engineering and research teams.
Willingness to work directly with game clients and production builds; able to follow test plans and explore ad-hoc scenarios.
Nice to have
Experience with graphics/renderer artifacts and common failure modes (aliasing, temporal instability, lighting issues).
Familiarity with video capture tools and codecs, or with in-engine capture pipelines.
Prior exposure to tools like FiftyOne, Voxel51, or model-based classifiers (CLIP)
Languages
English: C1 Advanced
Seniority
Junior
*The acquisition of rights to the above benefits depends on the form of cooperation. Benefits apply to those employed under a contract of employment.
**Please note that relocation is not available for all open positions. At Luxoft Poland it is possible to work remotely only from the territory of Poland.
***Options offered by the Polish government.
Gdansk, Poland
Req. VR-119093
Manual Testing
Automotive Industry
18/11/2025
Req. VR-119093
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