Software System Design Eng.

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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Responsibilities

THE ROLE: 

We are seeking an engineer to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team.

THE PERSON: 

We are looking for an experienced Senior QA engineer with expertise in virtualization, hypervisors, GPU virtualization, and advanced I/O technologies. This role drives comprehensive feature validation and roadmap projects while ensuring robust quality assurance strategies across traditional and specialized virtual environments. Your remit will include validating GPU virtualization and the intricacies of SR-IOV (Single Root I/O Virtualization) and pass-through technologies, all crucial for delivering high-performance computing, AI, platform specific and data-intensive applications

Key Responsibilities:

• Develop and implement rigorous QA methodologies for virtualization platforms, hypervisors, GPU virtualization, SR-IOV, and pass-through technology implementations.
• Design test plans to verify virtualization features across compute, hostdrivers, networking, and GPU-accelerated workloads.
• Validate GPU virtualization capabilities on AMD gpus and ensure seamless integration within virtual desktop infrastructure (VDI) and AI/ML applications.
• Validate SR-IOV and pass-through technologies—ensuring efficient I/O performance and robust isolation for critical network and peripheral resources.
• Collaborate with engineering, product, architecture, program management teams to synchronize QA activities with product roadmaps, while aligning the testing of emerging AMD GPUs and advanced I/O features.
• Lead validation and automation initiatives using both established tools and custom frameworks to cover functional, regression, and performance tests, with dedicated focus on GPU virtualization testcases, SR-IOV, and pass-through scenarios.
• Oversee the detection, triaging, debugging, and resolution of defects spanning virtualization, GPU acceleration, and advanced I/O components, ensuring prompt and effective problem resolution.
• Partner with development, architecture, and product teams to integrate virtualization and GPU features, whilst providing proactive insights related to SR-IOV and pass-through aspects.
• Constantly research emerging trends in virtualization, GPU acceleration, and I/O technologies to propose refined testing strategies and improvements in CI/CD pipelines.

Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field with 8+ yrs of related experience
• Demonstrated understanding of platforms such as VMware vSphere, Hyper-V, KVM, Xen, and GPU virtualization technologies
• Hands-on experience in Linux platforms, Virtualization platforms such as any KVM based Hypervisor or Openstack and ESXi- Good understanding and experience in virtualization technologies, such as KVM,Qemu, Libvirt, VirtIO,
• Solid background in leading quality assurance initiatives and guiding teams in complex, technical environments.
• Advanced skills in Python, PowerShell, or Bash to design custom test scripts and automation solutions,
• Experience in incorporating QA processes within CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or their equivalents.
• Competence in diagnosing and resolving technical issues across diverse virtualized environments, including those involving advanced I/O technologies.
• Familiarity with Docker, Kubernetes, and cloud-native infrastructures, as well as virtualization services from AWS, Azure, or GCP.
• Prior experience with GPU performance tuning, virtualization configuration, and benchmarking along with in-depth exposure to SR-IOV setups and pass-through configurations
• Familiarity with various embedded and GPU hardware platforms and wide variety of operating systems(Linux and Windows) variants
• Familiarity with AI / ML frameworks , models and datacenter tools
• Strong analytical and problem-solving skills, with an ability to debug and resolve complex issues in software systems.
• Should be familiar with one or more scripting languages (bash, Perl, python, etc.)

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Qualifications

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.