4 days ago
Responsibilities
- Define AMD solution engineering strategy and deliver end-to-end reference architectures, reusable components, integration guides, validated configurations, and customer proof-of-concepts.
- Drive upstream enablement across Linux kernels, drivers, firmware interfaces, system libraries, containers, Kubernetes, schedulers, service meshes, observability platforms, runtimes, compilers, libraries, and data-processing frameworks.
- Integrate and optimize relational, NoSQL, analytical, vector, graph, caching, messaging, and distributed database platforms on AMD systems.
- Design secure, high-performance APIs and SDK integration patterns and develop MCP servers, connectors, and reference patterns.
- Support AMD + AMD and AMD + NVIDIA deployment models while improving interoperability, portability, operational consistency, and customer choice.
- Apply profiling, benchmarking, tracing, and systems analysis to improve performance, scalability, availability, energy efficiency, cost of ownership, and quality of service.
- Build security into solution architectures through confidential computing, trusted execution, attestation, identity, secure boot, supply-chain controls, cryptography, data protection, governance, and auditability.
- Enable practical AI workloads such as model serving, retrieval, vector search, data pipelines, and developer productivity where relevant.
- Partner with customers, hyperscalers, OEMs, ISVs, vendors, and open-source maintainers to resolve integration barriers and provide roadmap feedback.
- Represent AMD through technical publications, conferences, standards bodies, upstream contributions, architecture reviews, executive customer engagements, and technical mentoring.
Requirements
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline, or equivalent advanced industry experience.
- Extensive experience delivering systems software, platform integration, solution architecture, or customer engineering for large-scale enterprise, cloud, data-center, or edge environments.
- Deep expertise in heterogeneous computing across CPUs, GPUs, DPUs, networking, storage, memory subsystems, virtualization, and cloud infrastructure.
- Strong knowledge of Linux kernel architecture, drivers, system calls, memory management, I/O, networking stacks, security mechanisms, performance tooling, and upstream development practices.
- Experience with runtime services, compilers, language runtimes, system libraries, containers, Kubernetes, distributed schedulers, observability, CI/CD, and software supply chains.
- Strong database and data-platform expertise, including performance and scale-out optimization.
- Experience designing and integrating REST, gRPC, event-driven, and systems-level APIs, plus working knowledge of Model Context Protocol server, client, tool, resource, authentication, and enterprise integration patterns.
- Strong programming skills in C, C++, Python, Go, Rust, or comparable systems languages, with experience in profiling, debugging, and production-quality open-source development.
- Experience with ROCm, AMD Zen Software Studio, AMD Enterprise AI, or comparable accelerator, compiler, runtime, and developer-tool ecosystems is desirable.
- Practical familiarity with AI infrastructure, model serving, retrieval-augmented applications, vector databases, and inference performance is beneficial.
- Demonstrated technical leadership with customers, hyperscalers, OEMs, ISVs, standards groups, and open-source communities through shipped solutions, upstream contributions, patents, publications, or conference presentations.
Benefits
- AMD benefits are offered; details are provided through AMD's benefits-at-a-glance information.
- Alternate location: Santa Clara, California.
- This role is not eligible for visa sponsorship.
About AMD
AMD designs and sells CPUs, GPUs, and adaptive/embedded computing products for PCs, data centers, gaming, and edge devices. Its portfolio includes Ryzen and EPYC processors, Radeon and Instinct graphics, and adaptive SoCs from its Xilinx acquisition, sold to OEMs, cloud providers, and device makers. Founded in 1969 and headquartered in Santa Clara, it is a public company on NASDAQ and supplies semi-custom chips for major game consoles.