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Sr. Solutions Engineer

AMD· Engineering
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Hybrid (Austin, TX)Full-timePosted 5d ago

About the role

Senior technical solutions engineer and systems architect role focused on integrating AMD hardware and software into open-source, enterprise, cloud, and edge ecosystems. Drives end-to-end reference architectures, upstream collaborations, and production-ready solutions across AMD and partner platforms with emphasis on open systems integration, performance, security, and developer experience.

Responsibilities

  • Define and execute AMD's solution engineering strategy for integrating AMD hardware and software into open-source, commercial, enterprise, cloud, and edge ecosystems, creating end-to-end reference architectures, reusable components, integration guides, validated configurations, and customer proof-of-concepts spanning AMD CPUs, GPUs, DPUs, networking, memory, storage, and accelerators.
  • 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, and 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 while simplifying application portability and developer adoption, and develop MCP servers, connectors, and reference patterns where MCP provides a practical interface between developer tools, enterprise data, platform services, and selected AI-assisted workflows.
  • Support both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models, improving interoperability, workload portability, operational consistency, and customer choice.
  • Apply rigorous 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, without making AI the sole focus of the platform solution.
  • Partner directly with strategic customers, hyperscalers, OEMs, ISVs, database and platform vendors, and open-source maintainers to resolve integration barriers and validate production readiness, translating 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, and mentor senior engineers and architects in systems integration, open-source engagement, performance engineering, and production solution design.

Qualifications

  • Extensive experience delivering systems software, platform integration, solution architecture, or customer engineering for large-scale enterprise, cloud, data-center, or edge environments, with 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, plus 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, along with 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.
  • Experience with ROCm, AMD Zen Software Studio, AMD Enterprise AI, or comparable accelerator, compiler, runtime, and developer-tool ecosystems; familiarity with AI infrastructure, model serving, vector databases, and inference performance is beneficial but broad systems integration depth is prioritized.
  • 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.

Skills

Nice to have:Linux kernel architecture

Benefits

  • AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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