Lead Validation Engineer

AMD AMD · Semiconductors · Gdansk, Poland · Engineering

Lead Validation Engineer at AMD focusing on next-generation ML-powered gaming technologies like upscaling and frame generation. The role involves owning end-to-end validation strategy, architecture, and execution for these complex features, ensuring visual quality, stability, and scalability. Responsibilities include defining validation direction, mentoring engineers, and partnering with research and productization teams. The role also emphasizes leading the adoption of AI-driven solutions to improve validation efficiency.

What you'd actually do

  1. Own end-to-end validation strategy and architecture for FSR and related technologies
  2. Design scalable automation frameworks and CI/CD systems
  3. Lead development of scalable validation systems covering: visual fidelity, performance, stability and non-regression
  4. Establish best practices for validation
  5. Lead adoption of AI-driven solutions to enhance validation efficiency, including intelligent test generation, anomaly detection, and automated analysis and reporting of visual and performance data

Skills

Required

  • Python
  • system-level validation
  • SDLC
  • rendering pipelines
  • upscaling / reconstruction methods
  • image quality
  • quality metrics
  • performance analysis
  • CI/CD systems
  • configuration matrices
  • software-hardware debugging

Nice to have

  • DirectX 12
  • Vulkan
  • shader programming
  • HLSL
  • GLSL
  • graphics features integration
  • ML models in rendering pipelines
  • graphics tooling
  • validation infrastructure

What the JD emphasized

  • Own end-to-end validation strategy and architecture
  • Design scalable automation frameworks and CI/CD systems
  • Lead development of scalable validation systems
  • Lead adoption of AI-driven solutions
  • Architect CI/CD systems for large-scale validation
  • Optimize test coverage, execution time, and infrastructure efficiency
  • Define validation plans, test matrices and prioritization strategies
  • Drive cross-platform testing
  • Lead root-cause analysis
  • Guide usage of advanced GPU debugging and profiling tool
  • Translate validation insights into product and engineering improvement
  • Collaborate with research, productization, MLOps, DevTools, QA lab, ISV integration, and GPU Open team
  • Report E2E validation status
  • Drive technical excellence and raise quality standards
  • Lead sprint planning and prioritization
  • Mentor and technically guide engineers
  • Extensive experience designing and building test automation frameworks at scale
  • Expert-level Python programming
  • Strong understanding of system-level validation and SDLC
  • Deep understanding of rendering pipelines
  • Experience with upscaling / reconstruction methods
  • Ability to diagnose complex rendering artifacts and pipeline issues
  • Proven experience defining validation approaches for image quality and perceptual systems
  • Strong understanding of quality metrics
  • Experience defining acceptance thresholds and tolerance models
  • Strong experience with performance analysis
  • Ability to evaluate and optimize performance-quality trade-offs
  • Proven experience designing CI/CD systems for test automation
  • Experience handling large configuration matrices
  • Strong understanding of scaling validation systems
  • Ability to debug across software-hardware boundaries
  • Experience leading technical initiatives across teams
  • Strong mentoring and coaching skills
  • Ability to influence without direct authority

Other signals

  • AI-driven solutions to enhance validation efficiency
  • intelligent test generation
  • anomaly detection
  • automated analysis and reporting of visual and performance data