{"schemaVersion":"jobsearcher.job.v1","id":"2bc65e70afce208fdea0f30d","url":"https://jobsearcher.com/jobs/2bc65e70afce208fdea0f30d","canonicalUrl":"https://jobsearcher.com/jobs/2bc65e70afce208fdea0f30d","title":"Artificial Intelligence Compiler Engineer (Software Engineer)","description":"Role/Responsibilities:\nEnCharge AI is looking to hire multiple software engineers (at junior and senior levels) who can help build out compiler stacks for the next generation of Edge Artificial Intelligence (AI) chips. You will have excellent software development skills as well as experience architecting and building compiler stacks for high-performance chips.\nDefine, participate, and develop critical compiler modules including front-end graph optimizations, additional hardware-aware optimizations, back-end code generators and low-level library (kernel) development.\nUse performance-driven methodologies to define a comprehensive set of compiler optimizations needed to enable high-performance AI inference solutions.\nCollaborate closely with the AI architecture, algorithms and runtime teams to create and optimize end-to-end performant AI solutions.\nInterface with teams building chip-simulators, performance models, assemblers, and disassemblers for EnCharge AI architectures.\nCreate SDKs to interface custom compiler stack with popular AI frameworks & runtimes.\nWork closely with the AI Architecture and FPGA platform teams to jointly optimize the compiler stack and architecture - with the goal of enhancing system level performance for AI applications.\nQualifications/Required Skills:\nMasters/Ph.D. in EE/CS with >5 years of industry experience in compiler development and / or chip architectures (preferably AI chip architectures).\nProficiency with C++, Python and Systems programming.\n>5 years of experience in compiler and / or library design (in R&D and / or products).\nKnowledge of industry-standard (and advanced) tools, graph, and intermediate-representation (IR) formats and methodologies including LLVM, MLIR and TVM.\nFamiliarity with Tensorflow & PyTorch AI frameworks.\nSolid understanding of AI Applications and performance bottlenecks.\nExcellent verbal and written communication skills.\nPreferred/Beneficial Skills:\nExperience with CI/CD.\nKnowledge of the end-to-end runtime stack for AI applications.","company":"Encharge Ai","rawCompany":"encharge ai","city":"San Jose","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:21:59.613Z","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":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Artificial Intelligence Compiler Engineer (Software Engineer)","description":"Role/Responsibilities:\nEnCharge AI is looking to hire multiple software engineers (at junior and senior levels) who can help build out compiler stacks for the next generation of Edge Artificial Intelligence (AI) chips. You will have excellent software development skills as well as experience architecting and building compiler stacks for high-performance chips.\nDefine, participate, and develop critical compiler modules including front-end graph optimizations, additional hardware-aware optimizations, back-end code generators and low-level library (kernel) development.\nUse performance-driven methodologies to define a comprehensive set of compiler optimizations needed to enable high-performance AI inference solutions.\nCollaborate closely with the AI architecture, algorithms and runtime teams to create and optimize end-to-end performant AI solutions.\nInterface with teams building chip-simulators, performance models, assemblers, and disassemblers for EnCharge AI architectures.\nCreate SDKs to interface custom compiler stack with popular AI frameworks & runtimes.\nWork closely with the AI Architecture and FPGA platform teams to jointly optimize the compiler stack and architecture - with the goal of enhancing system level performance for AI applications.\nQualifications/Required Skills:\nMasters/Ph.D. in EE/CS with >5 years of industry experience in compiler development and / or chip architectures (preferably AI chip architectures).\nProficiency with C++, Python and Systems programming.\n>5 years of experience in compiler and / or library design (in R&D and / or products).\nKnowledge of industry-standard (and advanced) tools, graph, and intermediate-representation (IR) formats and methodologies including LLVM, MLIR and TVM.\nFamiliarity with Tensorflow & PyTorch AI frameworks.\nSolid understanding of AI Applications and performance bottlenecks.\nExcellent verbal and written communication skills.\nPreferred/Beneficial Skills:\nExperience with CI/CD.\nKnowledge of the end-to-end runtime stack for AI applications.","datePosted":"2026-04-12T20:21:59.613Z","dateModified":"2026-04-12T20:21:59.613Z","hiringOrganization":{"@type":"Organization","name":"Encharge Ai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2bc65e70afce208fdea0f30d"},"url":"https://jobsearcher.com/jobs/2bc65e70afce208fdea0f30d"}}