Lead Validation Engineer

At AMD, the mission is to build products that accelerate next-generation computing experiences including AI, data centers, PCs, gaming, and embedded systems. The role is within AMD's Validation organization focusing on next-generation ML-powered gaming technologies such as upscaling, frame generation, and ML-driven rendering (e.g., FidelityFX Super Resolution).

Preferred Experience:

• 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 (FSR, DLSS, or similar)
• 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 including frame time, latency, GPU/CPU bottlenecks
• Ability to evaluate and optimize performance-quality trade-offs
• Proven experience designing CI/CD systems for test automation
• Experience handling large configuration matrices (hardware, drivers, OS)
• 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

Nice to have:

• Experience with DirectX 12 and/or Vulkan
• Understanding of shader programming (HLSL/GLSL)
• Experience integrating graphics features into game engines
• Exposure to ML models used in rendering pipelines
• Contributions to graphics tooling or validation infrastructure

Academic Credentials:

• Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

Key Responsibilities:

• Own end-to-end validation strategy and architecture for FSR and related technologies
• Design scalable automation frameworks and CI/CD systems
• Lead development of scalable validation systems covering visual fidelity, performance, stability, and non-regression
• Establish best practices for validation
• Lead adoption of AI-driven solutions to enhance validation efficiency including intelligent test generation, anomaly detection, and automated analysis and reporting
• Architect CI/CD systems for large-scale validation across GPUs, drivers, and OSes
• Optimize test coverage, execution time, and infrastructure efficiency
• Define validation plans, test matrices, and prioritization strategies
• Drive cross-platform testing across GPUs, drivers, and OS configurations
• Lead root-cause analysis across rendering pipelines, GPU execution, and cross-platform inconsistencies
• Guide usage of advanced GPU debugging and profiling tools
• Translate validation insights into product and engineering improvements
• Collaborate with research, productization, MLOps, DevTools, QA lab, ISV integration, and GPU Open teams
• Report end-to-end validation status to PMO, product, release, and engineering management
• Drive technical excellence and raise quality standards across the team
• Lead sprint planning and prioritization for validation deliverables
• Mentor and technically guide engineers

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.