{"schemaVersion":"jobsearcher.job.v1","id":"19bc03f8c41b3a207902a530","url":"https://jobsearcher.com/jobs/19bc03f8c41b3a207902a530","canonicalUrl":"https://jobsearcher.com/jobs/19bc03f8c41b3a207902a530","title":"Staff Engineer, Model Serving","description":"About the Role\nAs a Staff Engineer at Databricks, you will play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world‑class serving platform.\n\nThe Impact You Will Have\n\nDesign and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\n\nPartner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\n\nDrive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\n\nContribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\n\nCollaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\n\nLead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\n\nEstablish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\n\nRepresent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\n\nWhat We Look For\n\n10+ years of experience building and operating large-scale distributed systems.\n\nDeep expertise in model serving , inference systems , and related infrastructure (e.g., routing , scheduling , autoscaling , and observability ).\n\nStrong foundation in algorithms , data structures , and system design as applied to large-scale, low-latency serving systems.\n\nProven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\n\nExperience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems .\n\nStrong communication skills and ability to collaborate across teams in fast-moving environments.\n\nStrategic and product-oriented mindset with the ability to align technical execution with long-term vision.\n\nPassion for mentoring, growing engineers, and fostering technical excellence.\n\n#J-18808-Ljbffr","company":"Gravity Engineering Services","rawCompany":"gravity engineering services","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T03:14:59.214Z","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":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Engineer, Model Serving","description":"About the Role\nAs a Staff Engineer at Databricks, you will play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world‑class serving platform.\n\nThe Impact You Will Have\n\nDesign and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence.\n\nPartner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads.\n\nDrive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.\n\nContribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.\n\nCollaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems.\n\nLead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers.\n\nEstablish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance.\n\nRepresent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy.\n\nWhat We Look For\n\n10+ years of experience building and operating large-scale distributed systems.\n\nDeep expertise in model serving , inference systems , and related infrastructure (e.g., routing , scheduling , autoscaling , and observability ).\n\nStrong foundation in algorithms , data structures , and system design as applied to large-scale, low-latency serving systems.\n\nProven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value.\n\nExperience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems .\n\nStrong communication skills and ability to collaborate across teams in fast-moving environments.\n\nStrategic and product-oriented mindset with the ability to align technical execution with long-term vision.\n\nPassion for mentoring, growing engineers, and fostering technical excellence.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T03:14:59.214Z","dateModified":"2026-07-16T03:14:59.214Z","hiringOrganization":{"@type":"Organization","name":"Gravity Engineering Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"19bc03f8c41b3a207902a530"},"url":"https://jobsearcher.com/jobs/19bc03f8c41b3a207902a530"}}