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Graphics AI Software Engineer
Plain Concepts. Collaborate with research and applied engineering teams on multiple projects .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI-powered 3D graphics solutions, utilizing machine learning and computer vision frameworks. Proficient in developing and deploying advanced AI techniques across various platforms, including Desktop, Web, VR, and AR applications.
Highest-signal resume keywords
AI-Powered 3D Graphics SolutionsMachine Learning FrameworksComputer Vision TechniquesEvergine Graphics EngineAGILE Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonC#NeRFGaussian SplattingPoint Cloud ProcessingSAMv2GroundingDINOFlorenceV23D RenderingSpatial Computing
Soft Skills
Analytical Problem-SolvingEagerness to LearnCollaborationCuriosity
Tools & Technologies
UnityUnrealPyTorchTensorFlowAzureAWSGCPMLOps
Industry Keywords
3D EnvironmentsRapid PrototypingSoftware Development PracticesPerformance OptimizationInteractivity
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflowUnityUnreal Engine
About the role
Key responsibilities & impact- Collaborate with research and applied engineering teams on multiple projects
- Explore, design, and implement advanced AI solutions focused on computer vision, 3D rendering, and spatial computing
- Train, deploy, and operationalize groundbreaking developments
- Design and implement AI-powered 3D graphics solutions
- Develop and deploy AI techniques in Desktop, Web, VR, and AR applications using the Evergine graphics engine
- Improve 3D graphics performance, realism, and interactivity through AI
- Integrate and extend AI models such as NeRF, Gaussian Splatting, Point Cloud processing, SAMv2, and GroundingDINO or FlorenceV2
- Create next-generation AI models for dynamic, responsive, and intelligent 3D environments
- Lead architectural design for AI-driven 3D applications
- Design and integrate machine learning, deep learning, and computer vision frameworks
- Develop original algorithms and optimize machine learning models for performance and scalability
- Collaborate with multidisciplinary teams using AGILE methodologies
Requirements
What you’ll need- Ability to approach challenges thoughtfully and analytically, with an eagerness to learn through problem-solving
- Motivation to learn and apply 3D engines such as Unity or Unreal
- Familiarity with machine learning, deep learning, or computer vision concepts in 3D environments
- Willingness to learn, grow, and contribute within a collaborative team environment
- Curiosity about advancements in AI and 3D technology
- Exposure to PyTorch, TensorFlow, or similar frameworks is beneficial
- Basic experience with Python for AI development and C# for graphics programming
- Familiarity with vectors, matrices, and coordinate systems
- Comfort with rapid prototyping and disciplined software development practices
- Interest in Azure, AWS, or GCP and MLOps practices
- Basic proficiency in English
- No educational credential or required minimum experience stated
Benefits
Comp & perks- Flexible schedule 35 Hours / Week
- Fully remote work (optional)
- Flexible compensation (restaurant, transport, and childcare)
- Medical and dental insurance (completely free of charge for the employee)
- Individual budget for training or equipment and free Microsoft certifications
- English lessons
- Birthday day off
- Monthly bonus for electricity and Internet expenses at home
- Discount on gym plan and sports activities
- Plain Camp (annual team-building event)
- Events attendance and speakers
- Welcome pack
- Baby basket
- Christmas basket
- Discount portal for employees
- Latest technological tools