{"schemaVersion":"jobsearcher.job.v1","id":"7df643f1d108a3d94fddbe6a","url":"https://jobsearcher.com/jobs/7df643f1d108a3d94fddbe6a","canonicalUrl":"https://jobsearcher.com/jobs/7df643f1d108a3d94fddbe6a","title":"Silicon Software Lead","description":"About Normal Computing\nNormal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.\nWe co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.\nNormal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.\nThe Role\nNovel silicon without a software stack is a science project. Normal's ASIC computes with stochastic analog dynamics in memory, and the software layer that makes it programmable and performant for real inference workloads does not yet exist in any standard form. As our Silicon Software Lead, you will lead the team that builds it: the compiler, runtime, kernels, drivers, and hardware abstraction layer that turn our chip into a platform. You will set technical direction, stay hands-on in the stack, and co-design with hardware architects so that software constraints shape the silicon rather than arriving after it.\nThis is a seat for someone who has built software for hardware that did not exist yet, and wants to do it where the software genuinely changes the chip.\nWhat You'll Own\nTeam Leadership: Lead and grow the silicon software team spanning compiler, runtime, and systems software, staying close enough to the code to review designs and unblock hard problems directly.\nSoftware Stack Architecture: Own the architecture of the stack from ML framework ingestion through compilation, scheduling, and memory management to execution on Normal hardware.\nHardware Co-Design: Partner with silicon architects on ISA definition and the hardware abstraction layer, ensuring the chip is compilable and programmable, not just simulatable.\nRuntime & Tooling: Drive development of the runtime, kernels, drivers, profiling, and debugging tools that make the hardware usable for real inference workloads.\nSimulation-to-Silicon Continuity: Keep the software stack running against simulation, FPGA prototypes, and silicon as the hardware matures, so software development never waits on tapeout.\nRoadmap & Hiring: Set the silicon software roadmap, define milestones against the hardware program, and hire the engineers who deliver it.\nWhat Makes You a Great Fit\nSubstantial experience building software stacks for accelerators or non-standard hardware targets: compilers, runtimes, kernels, or drivers\nExperience leading engineers as a technical lead or manager while staying hands-on in design and code\nStrong systems programming skills in C++, Rust, or equivalent, with fluency in Python\nDeep understanding of ML inference workloads and the constraints that shape their execution on hardware\nExperience with compiler frameworks such as MLIR or LLVM, or with inference runtimes and kernel development\nComfort building software for hardware that is still evolving, from simulation through bring-up\nTrack record of hiring and developing strong systems engineers\nBonus Points\nExperience taking an accelerator software stack from zero to production at a startup or new hardware program\nExperience with in-memory compute, processing-in-memory, or analog hardware interfaces\nContributions to open-source compiler or runtime infrastructure\nExperience with hardware-software co-design where software insights shaped ISA or architecture decisions\nEqual Employment Opportunity Statement\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.\nAccessibility Accommodations\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.\nPrivacy Notice\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 Privacy Policy.\nCompensation Range: $240K - $310K","company":"Normal Computing","rawCompany":"normal computing","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-04T18:38:11.204Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"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":"Silicon Software Lead","description":"About Normal Computing\nNormal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.\nWe co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.\nNormal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.\nThe Role\nNovel silicon without a software stack is a science project. Normal's ASIC computes with stochastic analog dynamics in memory, and the software layer that makes it programmable and performant for real inference workloads does not yet exist in any standard form. As our Silicon Software Lead, you will lead the team that builds it: the compiler, runtime, kernels, drivers, and hardware abstraction layer that turn our chip into a platform. You will set technical direction, stay hands-on in the stack, and co-design with hardware architects so that software constraints shape the silicon rather than arriving after it.\nThis is a seat for someone who has built software for hardware that did not exist yet, and wants to do it where the software genuinely changes the chip.\nWhat You'll Own\nTeam Leadership: Lead and grow the silicon software team spanning compiler, runtime, and systems software, staying close enough to the code to review designs and unblock hard problems directly.\nSoftware Stack Architecture: Own the architecture of the stack from ML framework ingestion through compilation, scheduling, and memory management to execution on Normal hardware.\nHardware Co-Design: Partner with silicon architects on ISA definition and the hardware abstraction layer, ensuring the chip is compilable and programmable, not just simulatable.\nRuntime & Tooling: Drive development of the runtime, kernels, drivers, profiling, and debugging tools that make the hardware usable for real inference workloads.\nSimulation-to-Silicon Continuity: Keep the software stack running against simulation, FPGA prototypes, and silicon as the hardware matures, so software development never waits on tapeout.\nRoadmap & Hiring: Set the silicon software roadmap, define milestones against the hardware program, and hire the engineers who deliver it.\nWhat Makes You a Great Fit\nSubstantial experience building software stacks for accelerators or non-standard hardware targets: compilers, runtimes, kernels, or drivers\nExperience leading engineers as a technical lead or manager while staying hands-on in design and code\nStrong systems programming skills in C++, Rust, or equivalent, with fluency in Python\nDeep understanding of ML inference workloads and the constraints that shape their execution on hardware\nExperience with compiler frameworks such as MLIR or LLVM, or with inference runtimes and kernel development\nComfort building software for hardware that is still evolving, from simulation through bring-up\nTrack record of hiring and developing strong systems engineers\nBonus Points\nExperience taking an accelerator software stack from zero to production at a startup or new hardware program\nExperience with in-memory compute, processing-in-memory, or analog hardware interfaces\nContributions to open-source compiler or runtime infrastructure\nExperience with hardware-software co-design where software insights shaped ISA or architecture decisions\nEqual Employment Opportunity Statement\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.\nAccessibility Accommodations\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.\nPrivacy Notice\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 Privacy Policy.\nCompensation Range: $240K - $310K","datePosted":"2026-08-04T18:38:11.204Z","dateModified":"2026-08-04T18:38:11.204Z","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":"7df643f1d108a3d94fddbe6a"},"url":"https://jobsearcher.com/jobs/7df643f1d108a3d94fddbe6a"}}