Role Description AMD Advanced Rendering and Engineering is a group of cross-disciplinary teams working at the intersection of graphics research and productization. Our mission is to create cutting-edge software that equips developers and publishers with the tools they need to build immersive, high-performance games optimized for AMD hardware. In this role, you'll have a unique opportunity to bridge the gap between groundbreaking research and real-world game development. You'll work alongside brilliant research engineers to bring proof-of-concept prototypes to life as production-ready technologies, and partner directly with leading game developers to see your work integrated into AAA titles played by millions. You'll have significant influence over technical direction and the chance to start from first principles on exciting new projects at the forefront of graphics and machine learning. Qualifications - Experienced software engineer with a passion for unlocking the full potential of breakthrough and emerging technologies. - Strong technical background in GPU/APU programming, C++, and machine learning. - Ability to collaborate effectively across teams and synthesize information from a range of specialist domains. - Clear communicator, intellectually curious, and excited by the challenge of turning cutting-edge research into polished, performant products. Requirements - Work closely with research engineers to transform proof-of-concept prototypes into mature products at a very high level of quality. - Collaborate with external game development partners to integrate these technologies into their titles. - Optimize, extend, package, and document high-level compute shader and C++ code. - Contribute to the technical direction of new projects, helping shape them from first principles. - Travel occasionally, both domestically and internationally, to engage with partners and teams. Preferred Experience - Computer science background with substantial full-time experience writing efficient, high-level shader code (HLSL SM6, GLSL, Slang, etc.) and modern C++ (17 and up). - Strong understanding of low-level machine learning concepts and design patterns, including automatic differentiation, computational graphs, tensor broadcasting, etc. - Knowledge of real-time rendering and graphics algorithms. - Excellent written and verbal English skills. - Knowledge of GPU ISAs, especially AMD RDNA and modern game console architectures (desired). - Experience working with modern machine learning libraries such as PyTorch or TensorFlow (desired). - Knowledge of physically based rendering algorithms, including sampling and shading, light transport, etc. (desired). - Experience with modern graphics APIs such as DirectX 12 or Vulkan (desired). - Applied mathematics background in fields such as linear algebra, differential calculus, stochastic optimization, and statistical analysis (desired). Academic Credentials - Bachelor, Master of Science or PhD degree with emphasis in computer science, computer engineering, or applied mathematics with relevant experience preferred. Benefits - AMD benefits at a glance.

• Design / Develop security products with Self-Service portals (UI), security central websites using Angular JS, React JS, Backstage and backed APIs using Java or Python • Develop CI-CD pipelines on Tekton and deploy to GCP cloud. • Work with product managers, SMEs, anchors to create prototypes, perform PoCs • Collaborate with Platform vendors to understand their APIs, integration patterns to automate deployments / manual tasks. • Automate testing using Playwright, postman • Work with various infrastructure and application support teams to provide technical direction and address security issues. • Design, test, and implement security policies for critical Enterprise Infrastructure. • Automate repeatable tasks and workflows to improve process efficiency by developing APIs/scripts and deploying to the cloud. • Implement SRE for Platform services, capabilities/features to achieve availability and reliability. • Secure in-house and public AI and ML/DL/LLM/Agents/MCP systems against cyber threats, adversarial attacks, and data breaches across the solution lifecycle. • Design and implement robust security platforms supporting enterprise security needs (e.g., unified telemetry pipeline like BindPlane, SIEM like QRadar, SecOps, and AI security). • Define and maintain guidelines and controls to secure AI systems, including data protection, model security, and compliance requirements. • Apply established frameworks as references/baselines (e.g., Google Secure AI Framework (SAIF), NIST AI Risk Management Framework, Framework for AI Cybersecurity Practices (FAICP)). • Identify, assess, and mitigate AI-specific security risks (adversarial attacks, data poisoning, model inversion, unauthorized access). • Conduct vulnerability assessments and penetration testing on AI models and data pipelines. • Ensure AI data is encrypted, anonymized, and securely stored. • Implement access controls for sensitive AI data and models (RBAC, ABAC, Zero Trust). • Protect AI models from tampering, theft, and adversarial manipulation during training and deployment. • Monitor and log AI system activity for anomalies and security incidents. • Develop and enforce policies to align AI systems with industry regulations, ethical standards, and organizational governance requirements. • Develop automated workflows and scripts to enhance security platform functionality and scalability, improving operational efficiency. • Manage timely patching and upgrades to security tools and systems to reduce downtime and minimize vulnerabilities. • Configure alerting systems for security threats and enable real-time monitoring for observability.

Develop comprehensive web application solutions, ensuring compliance with architectural standards. Collaborate with teams to define technology architecture, promote best practices, and provide oversight and coaching to team members throughout the...

• Design, develop, and maintain code that ensures application security, performance, and reliability, and monitors system health • Contribute to components of more complex applications • Writing and executing test cases that validate Salesforce configuration, Apex, Lightning Web Components, custom workflows, and integrations with client systems and services • Design, build, and maintain automated test scripts (functional, regression, API, performance, behavioral, and Section 508 accessibility) • Performing accessibility testing against WCAG 2.0/2.1 Level A and AA criteria and Section 508, using both automated scanners and manual assistive-technology validation • Work with APIs, databases, or data pipelines to effectively test data across systems • Integrate test automations into deployment workflows, including CI/CD pipelines and cloud-based environments (e.g. Copado or GitHub Actions) • Contribute to the design and maintenance of the team’s test automation framework using Copado Robotic Testing, Robot Framework, Selenium, or equivalent tools • Support applications and scripts in production, including debugging, monitoring, and issue resolution • Triage defects, analyzing root cause, and partnering with developers to drive resolution; tracking issues in Jira through closure • Author test plans, test cases, test data, and test results that demonstrate traceability between requirements, user stories, and validation outcomes • Generating clear test status reports and dashboards that allow stakeholders at varying levels to assess quality and drill into details when needed • Promote an automation-first culture and contribute to the team’s testing best practices, strategy, and tooling roadmap • Apply agile methodologies to test automation development and contribute to continuous improvement of team processes • Learn and integrate new technologies and skills that support project goals