Senior Software Development Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

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The CD/CI Test Software Engineer will partner closely with the software development team to build and maintain automated test and training environments for GPU-accelerated features and libraries. This role focuses on creating, maintaining, and running continuous delivery/continuous integration (CD/CI) pipelines, test frameworks, and automation that validate functionality, performance, and stability across target hardware and software stacks. The engineer will help ensure reproducible, high-quality releases by providing robust test infrastructure, test automation, and operational support for development and validation teams.

Key Responsibilities

• Design, implement, and maintain CD/CI pipelines that automate build, test, and deployment workflows for GPU-accelerated features and libraries.
• Develop and maintain automated test frameworks, regression suites, and validation tools for functional, performance, and stability testing.
• Create and manage test and training environments (on-prem and cloud), including lab orchestration, provisioning, and configuration management for boards, systems, and test agents.
• Integrate test automation with code repositories, build systems, artifact stores, and reporting tools to provide timely feedback to developers.
• Collaborate with software engineers to translate test requirements into automated test cases and to integrate ML and shader workloads into CD/CI pipelines.
• Implement monitoring, logging, and alerting to track test runs, lab health, and test coverage; diagnose and remediate infrastructure or automation failures.
• Support bring-up and validation of new hardware platforms through automated tests and lab setups.
• Develop scripts and utilities to automate repetitive lab tasks (e.g., board swaps, system setups, firmware flashing, test data collection).
• Provide training, documentation, and support to development teams on using the CD/CI systems, test environments, and best practices.
• Execute and prioritize tasks assigned by senior staff and management; participate in postmortems and continuous improvement of testing processes.

Preferred Experience

• Experience designing, implementing, and operating CD/CI systems (Jenkins, GitLab CI, Azure DevOps, CircleCI, or similar).
• Strong scripting and automation skills (Python, Bash/PowerShell, or similar) and experience with lab orchestration tools (Ansible, Terraform, Kubernetes, etc.).
• Familiarity with test automation frameworks and test result reporting (pytest, GoogleTest, Allure, TestRail, etc.).
• Experience with Windows and Linux based build/test environments and knowledge of system-level scripting and tooling.
• Practical understanding of GPU-accelerated workloads, real-time graphics workflows, or ML inference pipelines; exposure to shader code (HLSL) or GPU programming is a plus.
• Experience interfacing automation with hardware test beds: board management, firmware flashing, serial logs, power control, and remote access systems.
• Familiarity with performance and stability testing methodologies, and tools for profiling and diagnosing crashes/TDRs.
• Strong debugging, troubleshooting, and root-cause analysis skills across hardware, drivers, and user-space software.
• Excellent written and verbal communication skills; ability to produce clear documentation and train distributed teams.
• Comfortable working within geographically distributed teams and coordinating across business units.

Academic Credentials

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

Nice-to-have

• Experience with ML model validation and integration into game engines or multimedia pipelines.
• Prior exposure to GPU driver stacks or low-level graphics API tooling.
• Experience with Luxoft or other contractor engagement models for managing offshore test resources.

Benefits offered are described: AMD benefits at a glance.

_AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. 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. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

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