{"schemaVersion":"jobsearcher.job.v1","id":"f0d895d1fdadeff20d0c5e0a","url":"https://jobsearcher.com/jobs/f0d895d1fdadeff20d0c5e0a","canonicalUrl":"https://jobsearcher.com/jobs/f0d895d1fdadeff20d0c5e0a","title":"Sr. Engineer - Performance AI/ML Deployment Engineering","description":"WHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.\n\nTogether, we advance your career.\n\nTHE TEAM:\nAMD’s Data Center GPU organization is transforming the AI and HPC landscape. Our mission is to design and market exceptional products—anchored by our Instinct GPU portfolio—that power the next generation of computing in enterprise data centers, cloud, and supercomputing environments. If you’re excited by AI disruption and want to be part of building something big, join us.\n\nTHE ROLE:\nSenior/Principal Engineer, DC GPU AI/ML Advanced Forward Deployment and Systems Engineering is a leadership position designed to optimize the design, roll‑out and post‑rollout management of AI/ML fabrics. The candidate will be the technical interface between customers and various internal engineering groups, and field application engineers. Leveraging extensive experience in large network architecture, storage, AI/ML network deployments and performance tuning, this role requires a disciplined approach to system triage, at‑scale debugging and infrastructure optimization to ensure robust performance and efficient transitions from GPU production qualification to at‑scale datacenter deployment.\n\nTHE PERSON:\nThis position is for a Senior/Principal Engineer, DC GPU AI/ML Advanced Forward Deployment and Systems Engineering, focused on architecture, design, optimizing compute, network, storage and benchmarking machine‑learning applications. You will be part of a team that closely works with strategic customers and partners to enable large‑scale deployment of AMD CPU and GPU platforms, and closely interface with ROCm software developers, DC GPU HW/FW/ASIC teams, field engineering teams, OEM/ODM partners, CSPs, and marketing/business development teams. You must be self‑motivated and able to work well within a team environment.\n\nKEY RESPONSIBILITIES:\n\nCollaborate with strategic customers on scalable designs involving compute, networking, storage environments; work with industry partners and internal teams to accelerate the deployment and adoption of AI/ML models.\n\nEngage in system‑level triage and at‑scale debugging of complex issues across hardware, firmware and software, ensuring rapid resolution and system reliability.\n\nDrive the ramp of Instinct‑based large‑scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster levels while leveraging the best in network architecture for AI/ML workloads.\n\nEnhance tools and methodologies for large‑scale deployments to meet customer uptime goals and exceed performance expectations.\n\nEngage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins.\n\nProvide domain‑specific knowledge to other groups at AMD, sharing lessons learned to drive continuous improvement.\n\nEngage with AMD product groups to drive resolution of application and customer issues.\n\nDevelop and present training materials to internal audiences, at customer venues and at industry conferences.\n\nPREFERRED EXPERIENCE:\n\nExpertise in performance optimization for large‑scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence and scalability improvements.\n\nHands‑on expertise in at least one of the three domains: compute, network, storage.\n\nDemonstrated leadership in network architecture, hands‑on experience in RoCEv2 design, VXLAN‑EVPN, BGP and lossless fabrics.\n\nDeep experience working with large customers such as cloud service providers and global enterprise customers.\n\nProven leadership in engaging customers with diverse technical disciplines in proof‑of‑concept, competitive evaluations, early field trials, etc.\n\nDirect experience working with large customers and ability to act with urgency, own problems and resolve them.\n\nExtensive experience in Python, Linux, kernel modules and application libraries, complemented by other skill sets in the space.\n\nProven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends.\n\nExtensive hands‑on network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista experience is required.\n\nDirect co‑development/deployment experience working with strategic customers and partners in bringing solutions to market.\n\nExcellent communication skills from engineer to mid‑management to C‑level executives.\n\nSenior‑level role; recent college graduates will not be considered.\n\nACADEMIC CREDENTIALS:\n\nBachelors or master’s in computer science, engineering or related subject areas.\n\nAbility to work well in a geographically dispersed team.\n\nCertifications in networking, AI/ML or cloud technologies.\n\nLOCATION:\nSanta Clara, CA\n\nThis role is not eligible for visa sponsorship.\n\n#LI-SL2\n\n#LI-HYBRID\n\nBenefits:\nBenefits offered are described: AMD benefits at a glance.\n\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.\n\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.\n\n#J-18808-Ljbffr","company":"Advanced Micro Devices","rawCompany":"advanced micro devices","city":"Santa Clara","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T03:19:19.353Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1241.00","title":"Computer Network Architects","slug":"computer-network-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Engineer - Performance AI/ML Deployment Engineering","description":"WHAT YOU DO AT AMD CHANGES EVERYTHING\nAt AMD, our mission is to build great products that accelerate next‑generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.\n\nTogether, we advance your career.\n\nTHE TEAM:\nAMD’s Data Center GPU organization is transforming the AI and HPC landscape. Our mission is to design and market exceptional products—anchored by our Instinct GPU portfolio—that power the next generation of computing in enterprise data centers, cloud, and supercomputing environments. If you’re excited by AI disruption and want to be part of building something big, join us.\n\nTHE ROLE:\nSenior/Principal Engineer, DC GPU AI/ML Advanced Forward Deployment and Systems Engineering is a leadership position designed to optimize the design, roll‑out and post‑rollout management of AI/ML fabrics. The candidate will be the technical interface between customers and various internal engineering groups, and field application engineers. Leveraging extensive experience in large network architecture, storage, AI/ML network deployments and performance tuning, this role requires a disciplined approach to system triage, at‑scale debugging and infrastructure optimization to ensure robust performance and efficient transitions from GPU production qualification to at‑scale datacenter deployment.\n\nTHE PERSON:\nThis position is for a Senior/Principal Engineer, DC GPU AI/ML Advanced Forward Deployment and Systems Engineering, focused on architecture, design, optimizing compute, network, storage and benchmarking machine‑learning applications. You will be part of a team that closely works with strategic customers and partners to enable large‑scale deployment of AMD CPU and GPU platforms, and closely interface with ROCm software developers, DC GPU HW/FW/ASIC teams, field engineering teams, OEM/ODM partners, CSPs, and marketing/business development teams. You must be self‑motivated and able to work well within a team environment.\n\nKEY RESPONSIBILITIES:\n\nCollaborate with strategic customers on scalable designs involving compute, networking, storage environments; work with industry partners and internal teams to accelerate the deployment and adoption of AI/ML models.\n\nEngage in system‑level triage and at‑scale debugging of complex issues across hardware, firmware and software, ensuring rapid resolution and system reliability.\n\nDrive the ramp of Instinct‑based large‑scale AI datacenter infrastructure based on NPI base platform hardware with ROCm, scaling up to pod and cluster levels while leveraging the best in network architecture for AI/ML workloads.\n\nEnhance tools and methodologies for large‑scale deployments to meet customer uptime goals and exceed performance expectations.\n\nEngage with clients to deeply understand their technical needs, ensuring their satisfaction with tailored solutions that leverage your past experience in strategic customer engagements and architectural wins.\n\nProvide domain‑specific knowledge to other groups at AMD, sharing lessons learned to drive continuous improvement.\n\nEngage with AMD product groups to drive resolution of application and customer issues.\n\nDevelop and present training materials to internal audiences, at customer venues and at industry conferences.\n\nPREFERRED EXPERIENCE:\n\nExpertise in performance optimization for large‑scale AI/ML networks, including network, compute, storage cluster design, modelling, analytics, performance tuning, convergence and scalability improvements.\n\nHands‑on expertise in at least one of the three domains: compute, network, storage.\n\nDemonstrated leadership in network architecture, hands‑on experience in RoCEv2 design, VXLAN‑EVPN, BGP and lossless fabrics.\n\nDeep experience working with large customers such as cloud service providers and global enterprise customers.\n\nProven leadership in engaging customers with diverse technical disciplines in proof‑of‑concept, competitive evaluations, early field trials, etc.\n\nDirect experience working with large customers and ability to act with urgency, own problems and resolve them.\n\nExtensive experience in Python, Linux, kernel modules and application libraries, complemented by other skill sets in the space.\n\nProven ability to influence design and technology roadmaps, leveraging a deep understanding of datacenter products and market trends.\n\nExtensive hands‑on network deployment expertise and proven track record of delivering large projects on time. Cisco, Juniper or Arista experience is required.\n\nDirect co‑development/deployment experience working with strategic customers and partners in bringing solutions to market.\n\nExcellent communication skills from engineer to mid‑management to C‑level executives.\n\nSenior‑level role; recent college graduates will not be considered.\n\nACADEMIC CREDENTIALS:\n\nBachelors or master’s in computer science, engineering or related subject areas.\n\nAbility to work well in a geographically dispersed team.\n\nCertifications in networking, AI/ML or cloud technologies.\n\nLOCATION:\nSanta Clara, CA\n\nThis role is not eligible for visa sponsorship.\n\n#LI-SL2\n\n#LI-HYBRID\n\nBenefits:\nBenefits offered are described: AMD benefits at a glance.\n\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.\n\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.\n\n#J-18808-Ljbffr","datePosted":"2026-04-14T03:19:19.353Z","dateModified":"2026-04-14T03:19:19.353Z","hiringOrganization":{"@type":"Organization","name":"Advanced Micro Devices","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f0d895d1fdadeff20d0c5e0a"},"url":"https://jobsearcher.com/jobs/f0d895d1fdadeff20d0c5e0a"}}