{"schemaVersion":"jobsearcher.job.v1","id":"ec4514901754c14892e9efd0","url":"https://jobsearcher.com/jobs/ec4514901754c14892e9efd0","canonicalUrl":"https://jobsearcher.com/jobs/ec4514901754c14892e9efd0","title":"Sr. System Development Engineer, AL/ML/Storage server team","description":"Application deadline: Jun 20, 2026\n\nWe are seeking an experienced Senior Systems Development Engineer to lead the development of automation software, diagnostic tooling, and fleet health infrastructure for our server platforms. You will work across multiple teams and organizations to build scalable, reliable systems that keep our storage and accelerated (AI/ML) compute fleet healthy — with a vision toward zero-touch operations where automation detects, diagnoses, and resolves issues without human intervention.\n\nYou will be a technical leader solving complex architectural problems that may not be well-defined in advance. You will own your team's systems, proactively identify deficiencies, write scalable and robust code to solve issues before they impact customers. You will decompose large, difficult server testability, reliability, and diagnosis problems into straightforward tasks and components — leading delivery yourself and through others in parallel — using a combination of hardware, software, system design, processor architecture, diagnostics, and operations knowledge.\n\nKey job responsibilities\nFleet Health & Predictive Infrastructure\n\nBuild and own the automation infrastructure responsible for the health of the server fleet across storage and accelerator (AI/ML) compute platforms\n\nDesign and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact\n\nDrive toward zero-touch operations — building automation that detects, diagnoses, triages, and remediates hardware and software faults without human intervention\n\nDevelop monitoring tools, dashboards, and alerting systems to provide real-time visibility into fleet health across lab and production environments\n\nDefine and track fleet health metrics (failure rates, mean time to detect, mean time to repair, first‑time fix rate, predictive accuracy)\n\nDebugging & Troubleshooting\n\nDebug and resolve complex system‑level issues across storage, compute, GPU, networking in production environments\n\nTroubleshoot Linux boot and runtime failures across x86 and ARM architectures, including PCIe, power, NIC, NVMe, and GPU subsystems\n\nPerform root cause analysis on hardware failures — correlating across firmware, kernel, driver, and physical layer to isolate faults\n\nBuild diagnostic tooling that automates root cause identification and reduces reliance on manual triage\n\nImprove manufacturing throughput and yield through test optimization\n\nSystems Development & Automation\n\nLead the definition and development of software, automation, and enabling tools for server hardware programs; track and report progress\n\nDesign and build scalable system‑level software with focus on durability, availability, security, and diagnostics\n\nDevelop and maintain device drivers for Linux on ARM and x86 architectures\n\nBuild automation solutions using modern programming languages (Python, Ruby, Java, C/C++, etc.)\n\nWork with OS internals, storage subsystems, and accelerator/GPU software stacks in Linux‑based environments\n\nBuild, manage, and deploy CI/CD pipelines for rapid deployment of code changes to org‑owned and customer‑owned systems\n\nCross‑Team Collaboration\n\nWork across internal HWEng teams to ensure new server hardware addresses data path and control path functionality needed by dependent service teams\n\nWork closely with internal customers to identify early any potential problems onboarding new servers — storage or accelerated compute — into their ecosystem\n\nEngage with ODMs and design partners on testability, diagnostic, and automation requirements during hardware design and development\n\nContribute to server design to improve robustness, testability, diagnosability, and reliability\n\nPartner with datacenter operations teams to close the loop between field failures and design improvements\n\nA day in the life\nSystems Development Engineers in AWS Hardware Engineering wear many hats. From orchestration tooling development to hardware integration to kernel driver debugging, we dive deep into problems across the breadth of AWS. Our teams are directly responsible for launching and maintaining server hardware in the fleet — including storage servers powering distributed storage platforms and AI/ML accelerator servers with GPUs. Located in Seattle and Cupertino, we work with internal development teams, ODMs, and design partners to deliver servers deployed in datacenters worldwide.\n\nBASIC QUALIFICATIONS\n\n6+ years of non‑internship professional software development experience\n\n6+ years of systems design, software development, operations, automation, and process improvement experience\n\n6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience\n\n5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby\n\nExperience with Linux/Unix\n\nExperience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production\n\nPREFERRED QUALIFICATIONS\n\nKnowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations\n\nExperience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers\n\nExperience building predictive failure detection or proactive remediation systems at fleet scale\n\nExperience with Linux kernel driver development\n\nExperience with storage, compute, GPU/accelerator platforms (NVIDIA), including driver integration, diagnostics, or performance validation\n\nExperience with distributed storage systems (block, object, or file)\n\nFamiliarity with server hardware architecture, BMC/IPMI, firmware, PCIe topology, NVLink, and hardware diagnostics\n\nExperience working with ODMs or hardware design partners through the product development life cycle\n\nExperience building zero‑touch or self‑healing automation for large‑scale infrastructure\n\nExperience working in large‑scale datacenter or cloud environments\n\nTrack record of rapidly coming up to speed on new engineering disciplines and making impactful decisions\n\nExperience with hardware bring‑up, validation, and fleet‑wide deployment\n\nFamiliarity with telemetry pipelines, anomaly detection, and operational metrics at scale\n\nFamiliarity with manufacturing workflows and yield improvement optimization\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers.\n\n#J-18808-Ljbffr","company":"Amazon.com","rawCompany":"amazoncom","city":"Cupertino","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-20T03:35:49.361Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. System Development Engineer, AL/ML/Storage server team","description":"Application deadline: Jun 20, 2026\n\nWe are seeking an experienced Senior Systems Development Engineer to lead the development of automation software, diagnostic tooling, and fleet health infrastructure for our server platforms. You will work across multiple teams and organizations to build scalable, reliable systems that keep our storage and accelerated (AI/ML) compute fleet healthy — with a vision toward zero-touch operations where automation detects, diagnoses, and resolves issues without human intervention.\n\nYou will be a technical leader solving complex architectural problems that may not be well-defined in advance. You will own your team's systems, proactively identify deficiencies, write scalable and robust code to solve issues before they impact customers. You will decompose large, difficult server testability, reliability, and diagnosis problems into straightforward tasks and components — leading delivery yourself and through others in parallel — using a combination of hardware, software, system design, processor architecture, diagnostics, and operations knowledge.\n\nKey job responsibilities\nFleet Health & Predictive Infrastructure\n\nBuild and own the automation infrastructure responsible for the health of the server fleet across storage and accelerator (AI/ML) compute platforms\n\nDesign and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact\n\nDrive toward zero-touch operations — building automation that detects, diagnoses, triages, and remediates hardware and software faults without human intervention\n\nDevelop monitoring tools, dashboards, and alerting systems to provide real-time visibility into fleet health across lab and production environments\n\nDefine and track fleet health metrics (failure rates, mean time to detect, mean time to repair, first‑time fix rate, predictive accuracy)\n\nDebugging & Troubleshooting\n\nDebug and resolve complex system‑level issues across storage, compute, GPU, networking in production environments\n\nTroubleshoot Linux boot and runtime failures across x86 and ARM architectures, including PCIe, power, NIC, NVMe, and GPU subsystems\n\nPerform root cause analysis on hardware failures — correlating across firmware, kernel, driver, and physical layer to isolate faults\n\nBuild diagnostic tooling that automates root cause identification and reduces reliance on manual triage\n\nImprove manufacturing throughput and yield through test optimization\n\nSystems Development & Automation\n\nLead the definition and development of software, automation, and enabling tools for server hardware programs; track and report progress\n\nDesign and build scalable system‑level software with focus on durability, availability, security, and diagnostics\n\nDevelop and maintain device drivers for Linux on ARM and x86 architectures\n\nBuild automation solutions using modern programming languages (Python, Ruby, Java, C/C++, etc.)\n\nWork with OS internals, storage subsystems, and accelerator/GPU software stacks in Linux‑based environments\n\nBuild, manage, and deploy CI/CD pipelines for rapid deployment of code changes to org‑owned and customer‑owned systems\n\nCross‑Team Collaboration\n\nWork across internal HWEng teams to ensure new server hardware addresses data path and control path functionality needed by dependent service teams\n\nWork closely with internal customers to identify early any potential problems onboarding new servers — storage or accelerated compute — into their ecosystem\n\nEngage with ODMs and design partners on testability, diagnostic, and automation requirements during hardware design and development\n\nContribute to server design to improve robustness, testability, diagnosability, and reliability\n\nPartner with datacenter operations teams to close the loop between field failures and design improvements\n\nA day in the life\nSystems Development Engineers in AWS Hardware Engineering wear many hats. From orchestration tooling development to hardware integration to kernel driver debugging, we dive deep into problems across the breadth of AWS. Our teams are directly responsible for launching and maintaining server hardware in the fleet — including storage servers powering distributed storage platforms and AI/ML accelerator servers with GPUs. Located in Seattle and Cupertino, we work with internal development teams, ODMs, and design partners to deliver servers deployed in datacenters worldwide.\n\nBASIC QUALIFICATIONS\n\n6+ years of non‑internship professional software development experience\n\n6+ years of systems design, software development, operations, automation, and process improvement experience\n\n6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience\n\n5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby\n\nExperience with Linux/Unix\n\nExperience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production\n\nPREFERRED QUALIFICATIONS\n\nKnowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations\n\nExperience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers\n\nExperience building predictive failure detection or proactive remediation systems at fleet scale\n\nExperience with Linux kernel driver development\n\nExperience with storage, compute, GPU/accelerator platforms (NVIDIA), including driver integration, diagnostics, or performance validation\n\nExperience with distributed storage systems (block, object, or file)\n\nFamiliarity with server hardware architecture, BMC/IPMI, firmware, PCIe topology, NVLink, and hardware diagnostics\n\nExperience working with ODMs or hardware design partners through the product development life cycle\n\nExperience building zero‑touch or self‑healing automation for large‑scale infrastructure\n\nExperience working in large‑scale datacenter or cloud environments\n\nTrack record of rapidly coming up to speed on new engineering disciplines and making impactful decisions\n\nExperience with hardware bring‑up, validation, and fleet‑wide deployment\n\nFamiliarity with telemetry pipelines, anomaly detection, and operational metrics at scale\n\nFamiliarity with manufacturing workflows and yield improvement optimization\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers.\n\n#J-18808-Ljbffr","datePosted":"2026-06-20T03:35:49.361Z","dateModified":"2026-06-20T03:35:49.361Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cupertino","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec4514901754c14892e9efd0"},"url":"https://jobsearcher.com/jobs/ec4514901754c14892e9efd0"}}