{"schemaVersion":"jobsearcher.job.v1","id":"e92cb2183626ef62fed95448","url":"https://jobsearcher.com/jobs/e92cb2183626ef62fed95448","canonicalUrl":"https://jobsearcher.com/jobs/e92cb2183626ef62fed95448","title":"Runtime Engineer","description":"Normal Computing | Build with Us\n\nNormal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.\n\nThe Role\n\nNormal's hardware runs the most memory-bound parts of large-model inference inside memory itself, rather than shuttling weights to a processor. The software that makes this programmable doesn't exist yet in any standard form. The runtime is the layer the rest of that software runs through: it is how compiled programs get loaded, scheduled, and executed on our hardware. You will own its design and much of its implementation, and set its technical direction.\n\nThis is a senior, hands-on role. Our chip is pre-silicon, so you will build the runtime against our simulators and FPGA prototypes first, behind one interface, so that software above the runtime doesn't change when silicon arrives.\n\nWhat You Will Own\n\nRuntime Architecture: Own the design of the runtime: device management, memory allocation and host-device transfer, executable loading, and command submission. Success means the compiler and serving layers program our hardware through one stable interface.\n\nHardware Abstraction: Hide the differences between simulators, FPGA prototypes, silicon, and later hardware generations behind that interface.\n\nDevice State: Manage the state that lives on our hardware between requests, such as resident model weights, so the serving layer can rely on it.\n\nPerformance: Keep runtime overhead off the critical path for LLM inference, measured by end-to-end latency and throughput.\n\nCross-Team Interfaces: Define the boundary with the compiler above the runtime, and with the driver and firmware below it, which our hardware team owns.\n\nTechnical Leadership: Set the runtime's technical direction, review designs that depend on it, and work with compiler and serving engineers so the interface serves them.\n\nWhat Makes You a Great Fit\n\nExperience building runtimes, drivers, or hardware abstraction layers for accelerators or other non-standard hardware\n\nStrong systems programming in C++ or Rust: memory management, concurrency, and low-level performance\n\nTrack record of owning a complex systems component end to end, from design through production, and driving technical decisions across teams\n\nUnderstanding of LLM inference workloads and what they demand of a runtime\n\nComfort building software for hardware that is still evolving, from simulation through bring-up\n\nBonus Points\n\nExperience with open runtime designs such as IREE's HAL, or with CUDA or ROCm runtime internals\n\nExperience with in-memory compute or other non-von-Neumann hardware\n\nExperience integrating a runtime with an inference server such as vLLM\n\nContributions to open-source runtime or systems infrastructure\n\nEqual Employment Opportunity Statement\n\nNormal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.\n\nAccessibility Accommodations\n\nNormal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.\n\nPrivacy Notice\n\nBy submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice.\n\nCompensation Range: $200K - $300K","company":"Normal Computing","rawCompany":"normal computing","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-10-22T11:51:10.346Z","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":"15-1299.00","title":"Computer Occupations, All Other","slug":"computer-occupations-all-other"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Runtime Engineer","description":"Normal Computing | Build with Us\n\nNormal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, Silicon Valley (Mountain View), London, Copenhagen, and Seoul.\n\nThe Role\n\nNormal's hardware runs the most memory-bound parts of large-model inference inside memory itself, rather than shuttling weights to a processor. The software that makes this programmable doesn't exist yet in any standard form. The runtime is the layer the rest of that software runs through: it is how compiled programs get loaded, scheduled, and executed on our hardware. You will own its design and much of its implementation, and set its technical direction.\n\nThis is a senior, hands-on role. Our chip is pre-silicon, so you will build the runtime against our simulators and FPGA prototypes first, behind one interface, so that software above the runtime doesn't change when silicon arrives.\n\nWhat You Will Own\n\nRuntime Architecture: Own the design of the runtime: device management, memory allocation and host-device transfer, executable loading, and command submission. Success means the compiler and serving layers program our hardware through one stable interface.\n\nHardware Abstraction: Hide the differences between simulators, FPGA prototypes, silicon, and later hardware generations behind that interface.\n\nDevice State: Manage the state that lives on our hardware between requests, such as resident model weights, so the serving layer can rely on it.\n\nPerformance: Keep runtime overhead off the critical path for LLM inference, measured by end-to-end latency and throughput.\n\nCross-Team Interfaces: Define the boundary with the compiler above the runtime, and with the driver and firmware below it, which our hardware team owns.\n\nTechnical Leadership: Set the runtime's technical direction, review designs that depend on it, and work with compiler and serving engineers so the interface serves them.\n\nWhat Makes You a Great Fit\n\nExperience building runtimes, drivers, or hardware abstraction layers for accelerators or other non-standard hardware\n\nStrong systems programming in C++ or Rust: memory management, concurrency, and low-level performance\n\nTrack record of owning a complex systems component end to end, from design through production, and driving technical decisions across teams\n\nUnderstanding of LLM inference workloads and what they demand of a runtime\n\nComfort building software for hardware that is still evolving, from simulation through bring-up\n\nBonus Points\n\nExperience with open runtime designs such as IREE's HAL, or with CUDA or ROCm runtime internals\n\nExperience with in-memory compute or other non-von-Neumann hardware\n\nExperience integrating a runtime with an inference server such as vLLM\n\nContributions to open-source runtime or systems infrastructure\n\nEqual Employment Opportunity Statement\n\nNormal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.\n\nAccessibility Accommodations\n\nNormal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.\n\nPrivacy Notice\n\nBy submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Applicant Privacy Notice.\n\nCompensation Range: $200K - $300K","datePosted":"2026-10-22T11:51:10.346Z","dateModified":"2026-10-22T11:51:10.346Z","hiringOrganization":{"@type":"Organization","name":"Normal Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e92cb2183626ef62fed95448"},"url":"https://jobsearcher.com/jobs/e92cb2183626ef62fed95448"}}