Sr. Solutions Engineer

Advanced Micro Devices, Inc•Austin, TX

About The Position

AMD’s Software and Solutions Team is seeking a technical leader to accelerate integration and adoption of AMD technology across the open software ecosystem. The role defines and delivers production-oriented solutions connecting AMD CPUs, GPUs, DPUs, networking, memory, and software platforms with operating systems, databases, runtimes, APIs, developer frameworks, and cloud-native services. The position bridges AMD architecture and the broader open ecosystem by creating reference architectures, upstream integrations, reusable software components, validated deployment patterns, and early customer proof-of-concepts. Focus areas include operating-system kernels, runtime and system services, database and data-platform enablement, API layers, Model Context Protocol (MCP) integrations, container and orchestration environments, observability, security, and performance engineering. AI is a supported workload domain, particularly inference, retrieval, developer tooling, and data-intensive services, but the role is fundamentally centered on open systems integration and solution engineering. The successful candidate will collaborate with silicon architecture, product engineering, software organizations, customers, hyperscalers, ISVs, standards bodies, and open-source communities. They will influence AMD hardware and software roadmaps using implementation evidence, workload analysis, ecosystem gaps, customer requirements, and measurable improvements. This is a highly technical, hands-on individual-contributor role focused on architecture, integration, implementation, performance engineering, and ecosystem leadership—not people, program, or alliance management.

Requirements

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.
Hands-on 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 spanning relational, NoSQL, analytical, vector, graph, caching, messaging, and distributed storage technologies, including performance and scale-out optimization.
Experience designing and integrating REST, gRPC, event-driven, and systems-level APIs, with attention to compatibility, security, observability, versioning, and developer experience.
Working knowledge of Model Context Protocol (MCP), including server, client, tool, resource, authentication, and enterprise integration patterns.
Strong programming skills in C, C++, Python, Go, Rust, or comparable systems languages, with comfort in performance-critical paths, profiling, debugging, and production-quality open-source development.
Demonstrated technical leadership with customers, hyperscalers, OEMs, ISVs, standards groups, and open-source communities, supported by shipped solutions, upstream contributions, patents, publications, or conference presentations.
Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline; equivalent advanced industry experience may be considered.
The role is not eligible for visa sponsorship.

Nice To Haves

Experience with ROCm™, AMD Zen Software Studio, AMD Enterprise AI, or comparable accelerator, compiler, runtime, and developer-tool ecosystems.
Practical familiarity with AI infrastructure, model serving, retrieval-augmented applications, vector databases, and inference performance.

Responsibilities

Define and execute AMD’s solution engineering strategy for integrating AMD hardware and software into open-source, commercial, enterprise, cloud, and edge ecosystems; create end-to-end reference architectures, reusable components, integration guides, validated configurations, and customer proof-of-concepts.
Drive enablement and upstream collaboration across Linux kernels, device drivers, firmware interfaces, system libraries, package ecosystems, container runtimes, Kubernetes, schedulers, service meshes, and observability platforms.
Optimize runtime services, including language runtimes, compilers, libraries, inference and data-processing frameworks, communication stacks, and background system services, for AMD architectures.
Integrate and optimize relational, NoSQL, analytical, vector, graph, and distributed database platforms on AMD systems, addressing query execution, concurrency, memory hierarchy, storage I/O, networking, resiliency, and scale-out performance.
Design stable, secure, high-performance APIs and SDK integration patterns that expose AMD platform capabilities and simplify application portability and developer adoption.
Develop MCP servers, connectors, and reference patterns where MCP is a practical interface between developer tools, enterprise data, platform services, and selected AI-assisted workflows.
Support AMD + AMD and AMD + NVIDIA deployment models, improving interoperability, workload portability, operational consistency, and customer choice.
Use profiling, benchmarking, tracing, and systems analysis to improve latency, throughput, scalability, availability, energy efficiency, total cost of ownership, and quality of service.
Build security into solution architectures through confidential computing, trusted execution, attestation, identity, secure boot, software supply-chain controls, cryptography, data protection, governance, and auditability.
Enable practical AI workloads where relevant, including model serving, retrieval, vector search, data pipelines, and developer productivity.
Partner with strategic customers, hyperscalers, OEMs, ISVs, database and platform vendors, and open-source maintainers to resolve integration barriers and validate production readiness.
Translate implementation findings and ecosystem requirements into actionable feedback for AMD silicon, firmware, compiler, operating-system, runtime, library, and product roadmaps.
Represent AMD through technical publications, conferences, standards bodies, upstream contributions, architecture reviews, and executive customer engagements.
Mentor senior engineers and architects in systems integration, open-source engagement, performance engineering, and production solution design.