{"schemaVersion":"jobsearcher.job.v1","id":"e75d599eefb7d829c869b48c","url":"https://jobsearcher.com/jobs/e75d599eefb7d829c869b48c","canonicalUrl":"https://jobsearcher.com/jobs/e75d599eefb7d829c869b48c","title":"Senior System Engineer","description":"Description\n\nPrimary platform: Google Cloud Platform (inference, deployment automation, experimentation, sampling)\n\nProduction integration: Java-based streaming pipelines (model integration layer)\n\nInfrastructure: Hybrid – on‑premise streaming + GCP serving stacks\n\nDistributed systems: Working knowledge required for debugging and end‑to‑end testing (not deep expertise)\n\nStrong foundation in ML inference, deployment, and quality testing\n\nDemonstrated ability to ramp up quickly on new and unfamiliar tech stacks – this is the single most important trait\n\nEnd‑to‑end problem‑solving mindset – can own a problem from model handoff to user‑facing behavior\n\nCore ML knowledge sufficient to benchmark models and collaborate with researchers\n\nExperience deploying models in cloud environments, ideally GCP\n\nRequirements\n\nPerform model sampling to support quality evaluation and researcher feedback loops\n\nDebug issues across the full stack – from inference layer down to streaming pipelines\n\nPartner with ML researchers to provide benchmarking feedback and guide inference decisions – requires enough core ML knowledge to have a meaningful technical handshake\n\nAdapt rapidly to non‑standard and evolving tech stacks across hybrid (on‑prem + GCP) infrastructure\n\nJob Responsibilities\n\nEvaluate and benchmark new ML inference frameworks to guide production decisions\n\nDeploy models to GCP and integrate them into production applications and Java‑based streaming pipelines\n\nOwn deployment automation end‑to‑end – from model handoff through live serving\n\nMonitor how models behave in production for real end‑users\n\nDesign and execute benchmarking, performance testing, and quality testing on ML models\n\nBachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field\n\n#J-18808-Ljbffr","company":"Hitachi Data Systems","rawCompany":"hitachi data systems","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-18T03:42:52.337Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming 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GCP\n\nRequirements\n\nPerform model sampling to support quality evaluation and researcher feedback loops\n\nDebug issues across the full stack – from inference layer down to streaming pipelines\n\nPartner with ML researchers to provide benchmarking feedback and guide inference decisions – requires enough core ML knowledge to have a meaningful technical handshake\n\nAdapt rapidly to non‑standard and evolving tech stacks across hybrid (on‑prem + GCP) infrastructure\n\nJob Responsibilities\n\nEvaluate and benchmark new ML inference frameworks to guide production decisions\n\nDeploy models to GCP and integrate them into production applications and Java‑based streaming pipelines\n\nOwn deployment automation end‑to‑end – from model handoff through live serving\n\nMonitor how models behave in production for real end‑users\n\nDesign and execute benchmarking, performance testing, and quality testing on ML models\n\nBachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field\n\n#J-18808-Ljbffr","datePosted":"2026-06-18T03:42:52.337Z","dateModified":"2026-06-18T03:42:52.337Z","hiringOrganization":{"@type":"Organization","name":"Hitachi Data Systems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e75d599eefb7d829c869b48c"},"url":"https://jobsearcher.com/jobs/e75d599eefb7d829c869b48c"}}