{"id":2909957,"url":"https://alion.io/job/amd-sr-solutions-engineer-2","title":"Sr. Solutions Engineer","company":{"id":93,"name":"AMD","domain":"amd.com","url":"https://alion.io/company/amd","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":269000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":959},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"ROCm","optional":false},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"Go","optional":true},{"name":"gRPC","optional":true},{"name":"Python","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2026-10-15T23:51:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T05:58:55Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"ADVANCE YOUR CAREER. ADVANCE THE WORLD.\nAt AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.\nWhether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.\nTHE ROLE:\nAMD's Software and Solutions Team is seeking a Solution Engineering technical leader to accelerate the integration and adoption of AMD technology across the open software ecosystem. This role will define and deliver production-oriented solutions that connect AMD CPUs, GPUs, DPUs, networking, memory, and software platforms with the operating systems, databases, runtimes, APIs, developer frameworks, and cloud-native services customers use to build and operate modern infrastructure.\nThe role will bridge 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. Primary focus areas include Linux and other 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.\nWorking across AMD + AMD (A+A) and AMD + NVIDIA (A+N) environments and leveraging ROCm™, AMD Zen Software Studio, AMD Enterprise AI, open-source projects, industry standards, and upstream communities, this leader will make AMD platforms easier to adopt, integrate, operate, and optimize. AI is one 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.\nAs a recognized technical authority, this individual will collaborate with silicon architecture, product engineering, software organizations, customers, hyperscalers, ISVs, standards bodies, and open-source communities. The role will influence AMD hardware and software roadmaps through implementation evidence, workload analysis, ecosystem gaps, customer requirements, and measurable improvements in compatibility, performance, scalability, security, manageability, and developer experience.\nThis is a highly technical, hands-on individual contributor role focused on architecture, integration, implementation, performance engineering, and ecosystem leadership. It is not a people management, program management, or alliance management position.\nTHE PERSON:\nA deeply technical solution engineer and systems architect with broad expertise across operating systems, kernel and driver interfaces, runtime services, databases, distributed systems, APIs, cloud-native infrastructure, heterogeneous computing, networking, storage, virtualization, security, and performance engineering. This individual has a record of turning platform capabilities into integrated, supportable solutions that customers and open-source communities can deploy at scale.\nThe ideal candidate understands how applications move through API, middleware, runtime, kernel, driver, firmware, and hardware layers, and how data moves across transactional databases, analytical platforms, caches, object stores, and retrieval systems. They can diagnose integration barriers, contribute production-quality code, shape stable interfaces, and optimize end-to-end behavior across AMD and third-party components. Familiarity with practical AI infrastructure, model serving, vector search, and MCP-enabled tools is valuable where these technologies intersect with broader platform solutions.\nThis individual thrives in customer-facing and community-facing environments where long-term technical direction must be grounded in working code, benchmarks, upstream collaboration, and repeatable deployment outcomes. They lead through technical excellence and influence while partnering across engineering organizations and engaging directly with strategic customers, cloud providers, OEMs, ISVs, database vendors, operating-system communities, and standards organizations.\nKEY RESPONSIBILITIES:\nDefine 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.\nDrive 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.\nIntegrate 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.\nDesign 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.\nSupport both AMD + AMD (A+A) and AMD + NVIDIA (A+N) deployment models, improving interoperability, workload portability, operational consistency, and customer choice.\nApply rigorous profiling, benchmarking, tracing, and systems analysis to improve latency, throughput, scalability, availability, energy efficiency, total cost of ownership, and quality of service.\nBuild security into solution architectures through confidential computing, trusted execution, attestation, identity, secure boot, software supply-chain controls, cryptography, data protection, governance, and auditability.\nEnable 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.\nPartner 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.\nRepresent 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.\nPREFERRED EXPERIENCE:\nExtensive 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.\nStrong 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.\nStrong database and data-platform expertise spanning relational, NoSQL, analytical, vector, graph, caching, messaging, and distributed storage technologies, including performance and scale-out optimization.\nExperience 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.\nStrong 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.\nExperience 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, but broad systems integration depth is more important than specialization in AI.\nDemonstrated technical leadership with customers, hyperscalers, OEMs, ISVs, standards groups, and open-source communities, supported by shipped solutions, upstream contributions, patents, publications, or conference presentations.\nACADEMIC CREDENTIALS:\nMaster's degree in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or a related technical discipline; equivalent advanced industry experience may be considered.\nALTERNATE LOCATION:\nSanta Clara CA\nThis role is not eligible for visa sponsorship.\nBenefits offered are described: AMD benefits at a glance.\nAMD 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.\nAMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.\n\nThis posting is for an existing vacancy.\nTHE ROLE:\nAMD's Software and Solutions Team is seeking a Solution Engineering technical leader to accelerate the integration and adoption of AMD technology across the open software ecosystem. This role will define and deliver production-oriented solutions that connect AMD CPUs, GPUs, DPUs, networking, memory, and software platforms with the operating systems, databases, runtimes, APIs, developer frameworks, and cloud-native services customers use to build and operate modern infrastructure.\nThe role will bridge 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. Primary focus areas include Linux and other 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.\nWorking across AMD + AMD (A+A) and AMD + NVIDIA (A+N) environments and leveraging ROCm™, AMD Zen Software Studio, AMD Enterprise AI, open-source projects, industry standards, and upstream communities, this leader will make AMD platforms easier to adopt, integrate, operate, and optimize. 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