{"schemaVersion":"jobsearcher.job.v1","id":"940cea863ba471dc07205d32","url":"https://jobsearcher.com/jobs/940cea863ba471dc07205d32","canonicalUrl":"https://jobsearcher.com/jobs/940cea863ba471dc07205d32","title":"Core Engineering","description":"About Rox\n\nRox is building the AI-native revenue operating system.\n\nMost enterprise software was built for humans operating dashboards. Rox is built for agents operating systems.\n\nInstead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise.\n\nAgents analyze signals, reason about them, and take action — automatically.\n\nTo make that possible, we are building infrastructure that combines elements of:\n\ndistributed systems\n\nreal-time decisioning\n\nagent execution frameworks\n\nsemantic retrieval systems\n\nlow-latency streaming infrastructure\n\nknowledge graph architectures\n\nWe’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI.\n\nWe are building for what enterprise AI systems will require two years from now — not just what exists today.\n\nAbout the Core Engineering Team\n\nCore Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale.\n\nThis team sits at the center of Rox’s long-term technical strategy and owns foundational infrastructure across:\n\nagent reliability and orchestration\n\ndistributed execution systems\n\ngraph-based retrieval infrastructure\n\nstreaming and real-time context systems\n\nobservability for autonomous workflows\n\nlow-latency data and inference pipelines\n\nThe problems here look less like traditional SaaS application engineering and more like:\n\nreal-time OLAP systems\n\nstreaming compute platforms\n\ndistributed databases\n\nsemantic retrieval systems\n\ndeterministic execution infrastructure\n\nhigh-scale platform engineering\n\nAt Rox, agents continuously:\n\nretrieve context\n\nreason across changing state\n\ntrigger actions\n\nupdate workflows\n\ncoordinate across systems\n\nCore Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic.\n\nThe Role\n\nWe are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox’s autonomous agent platform.\n\nThis role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability.\n\nYou might be a fit if you’ve spent time building:\n\ndistributed infrastructure\n\nstreaming systems\n\nsemantic search infrastructure\n\ngraph-based retrieval systems\n\nexecution runtimes\n\nreliability infrastructure\n\nlow-latency backend platforms\n\nOr if you’ve historically been “the person” inside your company for difficult infrastructure problems.\n\nWe care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints.\n\nWhat You’ll Do\n\nBuild infrastructure for reliable autonomous agent execution\n\nDesign systems for deterministic, auditable agent behavior at enterprise SLAs\n\nDevelop low-latency retrieval and context systems powering AI workflows\n\nBuild and scale graph-based infrastructure and semantic retrieval systems\n\nImprove observability, debugging, and reliability across distributed agent systems\n\nWork on real-time data ingestion and streaming architectures\n\nCollaborate closely with platform, AI, and product engineering teams\n\nHelp shape the long-term architecture behind Rox’s agent runtime\n\nProblems You’ll Work On\n\nReliability for long-horizon AI workflows\n\nAgent orchestration across distributed systems\n\nDeterministic execution for autonomous systems\n\nStreaming context ingestion and retrieval\n\nKnowledge graph infrastructure\n\nReal-time state synchronization\n\nLow-latency execution pipelines\n\nEnterprise-grade observability for agent systems\n\nMust-Have Qualifications\n\nStrong background in distributed systems or platform engineering\n\nExperience building and operating high-scale backend infrastructure\n\nStrong systems fundamentals across networking, concurrency, storage, and reliability\n\nExperience with streaming systems, distributed databases, or real-time infrastructure\n\nAbility to independently design and ship complex technical systems\n\nStrong product and engineering judgment\n\nParticularly Relevant Backgrounds\n\nWe’d especially love to speak with engineers who have experience in areas like:\n\nApache Flink\n\ndistributed query engines\n\nreal-time OLAP systems\n\ngraph retrieval systems\n\nsemantic search infrastructure\n\nstreaming compute systems\n\nlarge-scale platform engineering\n\nAI infrastructure and orchestration systems\n\nOpen source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here.\n\nWhat Success Looks Like\nIn your first few weeks\n\nYou understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems.\n\nIn your first few months\n\nYou are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance.\n\nOver time\n\nYou help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale.\n\nWhy This Role Exists\n\nEnterprise AI systems are moving toward autonomous execution.\n\nThe hard problem is not generating outputs — it’s building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints.\n\nWe believe this requires a new category of infrastructure engineering.\n\nThat is the problem space this team exists to solve.\n\nLocation\n\nThis role is based onsite in San Francisco.\n\nWe strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox.\n\nIf you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.","company":"Rox Data","rawCompany":"rox data","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-26T11:50:48.017Z","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":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Core Engineering","description":"About Rox\n\nRox is building the AI-native revenue operating system.\n\nMost enterprise software was built for humans operating dashboards. Rox is built for agents operating systems.\n\nInstead of static workflows, Rox runs continuous decision loops powered by real-time context from across the enterprise.\n\nAgents analyze signals, reason about them, and take action — automatically.\n\nTo make that possible, we are building infrastructure that combines elements of:\n\ndistributed systems\n\nreal-time decisioning\n\nagent execution frameworks\n\nsemantic retrieval systems\n\nlow-latency streaming infrastructure\n\nknowledge graph architectures\n\nWe’re backed by Sequoia, GV, and General Catalyst and have grown rapidly from 15 to 75 people while shipping our platform years faster than the market expected. We already support Global 2000 customers across industries including banking, hardware, construction, and sovereign AI.\n\nWe are building for what enterprise AI systems will require two years from now — not just what exists today.\n\nAbout the Core Engineering Team\n\nCore Engineering builds the systems that make autonomous revenue agents reliable at enterprise scale.\n\nThis team sits at the center of Rox’s long-term technical strategy and owns foundational infrastructure across:\n\nagent reliability and orchestration\n\ndistributed execution systems\n\ngraph-based retrieval infrastructure\n\nstreaming and real-time context systems\n\nobservability for autonomous workflows\n\nlow-latency data and inference pipelines\n\nThe problems here look less like traditional SaaS application engineering and more like:\n\nreal-time OLAP systems\n\nstreaming compute platforms\n\ndistributed databases\n\nsemantic retrieval systems\n\ndeterministic execution infrastructure\n\nhigh-scale platform engineering\n\nAt Rox, agents continuously:\n\nretrieve context\n\nreason across changing state\n\ntrigger actions\n\nupdate workflows\n\ncoordinate across systems\n\nCore Engineering builds the infrastructure that makes those loops fast, reliable, observable, and deterministic.\n\nThe Role\n\nWe are hiring a Core Engineer to help design and operate the foundational infrastructure behind Rox’s autonomous agent platform.\n\nThis role is ideal for engineers who have deep systems intuition and want to work on infrastructure problems at the frontier of AI reliability.\n\nYou might be a fit if you’ve spent time building:\n\ndistributed infrastructure\n\nstreaming systems\n\nsemantic search infrastructure\n\ngraph-based retrieval systems\n\nexecution runtimes\n\nreliability infrastructure\n\nlow-latency backend platforms\n\nOr if you’ve historically been “the person” inside your company for difficult infrastructure problems.\n\nWe care deeply about engineering craftsmanship, systems thinking, and people who can reason about long-term architecture under real-world scale constraints.\n\nWhat You’ll Do\n\nBuild infrastructure for reliable autonomous agent execution\n\nDesign systems for deterministic, auditable agent behavior at enterprise SLAs\n\nDevelop low-latency retrieval and context systems powering AI workflows\n\nBuild and scale graph-based infrastructure and semantic retrieval systems\n\nImprove observability, debugging, and reliability across distributed agent systems\n\nWork on real-time data ingestion and streaming architectures\n\nCollaborate closely with platform, AI, and product engineering teams\n\nHelp shape the long-term architecture behind Rox’s agent runtime\n\nProblems You’ll Work On\n\nReliability for long-horizon AI workflows\n\nAgent orchestration across distributed systems\n\nDeterministic execution for autonomous systems\n\nStreaming context ingestion and retrieval\n\nKnowledge graph infrastructure\n\nReal-time state synchronization\n\nLow-latency execution pipelines\n\nEnterprise-grade observability for agent systems\n\nMust-Have Qualifications\n\nStrong background in distributed systems or platform engineering\n\nExperience building and operating high-scale backend infrastructure\n\nStrong systems fundamentals across networking, concurrency, storage, and reliability\n\nExperience with streaming systems, distributed databases, or real-time infrastructure\n\nAbility to independently design and ship complex technical systems\n\nStrong product and engineering judgment\n\nParticularly Relevant Backgrounds\n\nWe’d especially love to speak with engineers who have experience in areas like:\n\nApache Flink\n\ndistributed query engines\n\nreal-time OLAP systems\n\ngraph retrieval systems\n\nsemantic search infrastructure\n\nstreaming compute systems\n\nlarge-scale platform engineering\n\nAI infrastructure and orchestration systems\n\nOpen source contributors, infrastructure specialists, and engineers who have historically operated as technical force multipliers inside their organizations tend to thrive here.\n\nWhat Success Looks Like\nIn your first few weeks\n\nYou understand Rox’s architecture, agent runtime, and infrastructure stack deeply enough to contribute to production systems.\n\nIn your first few months\n\nYou are independently designing and improving core systems tied to agent reliability, execution, and retrieval performance.\n\nOver time\n\nYou help define the technical foundation that enables autonomous enterprise workflows to operate reliably at massive scale.\n\nWhy This Role Exists\n\nEnterprise AI systems are moving toward autonomous execution.\n\nThe hard problem is not generating outputs — it’s building reliable systems that can reason, retrieve context, coordinate actions, and operate deterministically under real-world enterprise constraints.\n\nWe believe this requires a new category of infrastructure engineering.\n\nThat is the problem space this team exists to solve.\n\nLocation\n\nThis role is based onsite in San Francisco.\n\nWe strongly believe that the speed and complexity of the problems we are solving benefit from in-person collaboration. We actively relocate exceptional engineers from around the world and currently have team members who have moved from Europe, Canada, Asia, and Australia to join Rox.\n\nIf you want to work on deep infrastructure problems at the frontier of autonomous systems, we’d love to talk.","datePosted":"2026-08-26T11:50:48.017Z","dateModified":"2026-08-26T11:50:48.017Z","hiringOrganization":{"@type":"Organization","name":"Rox Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"940cea863ba471dc07205d32"},"url":"https://jobsearcher.com/jobs/940cea863ba471dc07205d32"}}