{"schemaVersion":"jobsearcher.job.v1","id":"ae6411b567d667e493f99a2c","url":"https://jobsearcher.com/jobs/ae6411b567d667e493f99a2c","canonicalUrl":"https://jobsearcher.com/jobs/ae6411b567d667e493f99a2c","title":"AI Engineer","description":"Normal Computing | Build with Us\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\nAs an AI Engineer at Normal, you will build production systems that understand AI model architectures, technical documents and chip design & verification collateral like reference models, testbenches, FPGA emulation or analog simulations , and help build autoresearch loops, verifiers and infrastructure to optimize the design process.. You'll ship real improvements to our production platform while pushing the boundaries of what's possible in AI for hardware through reinforcement learning, agentic coding, and exceptional software engineering.\n\nWhat You Will Own\n\nEnd-to-End Development : Lead AI development from initial concept through production deployment and iteration.\n\nAgentic Systems : Handle multi-modal complexity and explore multi-agent, autoresearch and RL approaches for agentic code generation and tool use, interacting with both physical and simulated rewards.\n\nProduction Quality : Design strategies to manage latency, output variance, and graceful error handling at scale.\n\nPlatform Integration : Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform.\n\nMentorship : Guide junior engineers and establish best practices for AI development.\n\nWhat Makes You a Great Fit\n\nPrevious experience delivering production AI systems involving language models, preferably involving agentic coding workflows & tool use.\n\nSolid software engineering skills with experience in distributed systems, job scheduling and production-grade code\n\nProficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers)\n\nExperience with benchmarking and profiling different ML models, runtime configurations (VLLM/SGLang) and hardware architectures.\n\nHands‑on experience with prompt engineering, fine‑tuning, and deploying large language models\n\nAbility to explain complex AI concepts to both technical and non‑technical stakeholders\n\nBonus Points\n\nExperience with hardware design, hardware verification, or EDA tooling\n\nExperience deploying AI systems in mission‑critical or high‑stakes production environments\n\nExperience with cloud platforms (AWS, GCP, Azure) for large‑scale AI infrastructure\n\nResearch or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, or program synthesis\n\nOpen‑source contributions or publications in AI/ML venues\n\nSkill in balancing cutting‑edge innovation with production reliability and pragmatism\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\n#J-18808-Ljbffr","company":"Normal Computing","rawCompany":"normal computing","city":"Mountain View","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-23T04:09:37.085Z","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":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"AI Engineer","description":"Normal Computing | Build with Us\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\nAs an AI Engineer at Normal, you will build production systems that understand AI model architectures, technical documents and chip design & verification collateral like reference models, testbenches, FPGA emulation or analog simulations , and help build autoresearch loops, verifiers and infrastructure to optimize the design process.. You'll ship real improvements to our production platform while pushing the boundaries of what's possible in AI for hardware through reinforcement learning, agentic coding, and exceptional software engineering.\n\nWhat You Will Own\n\nEnd-to-End Development : Lead AI development from initial concept through production deployment and iteration.\n\nAgentic Systems : Handle multi-modal complexity and explore multi-agent, autoresearch and RL approaches for agentic code generation and tool use, interacting with both physical and simulated rewards.\n\nProduction Quality : Design strategies to manage latency, output variance, and graceful error handling at scale.\n\nPlatform Integration : Collaborate with product and engineering teams to embed AI capabilities seamlessly into our platform.\n\nMentorship : Guide junior engineers and establish best practices for AI development.\n\nWhat Makes You a Great Fit\n\nPrevious experience delivering production AI systems involving language models, preferably involving agentic coding workflows & tool use.\n\nSolid software engineering skills with experience in distributed systems, job scheduling and production-grade code\n\nProficiency in Python and modern ML frameworks (PyTorch, Hugging Face, transformers)\n\nExperience with benchmarking and profiling different ML models, runtime configurations (VLLM/SGLang) and hardware architectures.\n\nHands‑on experience with prompt engineering, fine‑tuning, and deploying large language models\n\nAbility to explain complex AI concepts to both technical and non‑technical stakeholders\n\nBonus Points\n\nExperience with hardware design, hardware verification, or EDA tooling\n\nExperience deploying AI systems in mission‑critical or high‑stakes production environments\n\nExperience with cloud platforms (AWS, GCP, Azure) for large‑scale AI infrastructure\n\nResearch or applied experience with LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, or program synthesis\n\nOpen‑source contributions or publications in AI/ML venues\n\nSkill in balancing cutting‑edge innovation with production reliability and pragmatism\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\n#J-18808-Ljbffr","datePosted":"2026-10-23T04:09:37.085Z","dateModified":"2026-10-23T04:09:37.085Z","hiringOrganization":{"@type":"Organization","name":"Normal Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ae6411b567d667e493f99a2c"},"url":"https://jobsearcher.com/jobs/ae6411b567d667e493f99a2c"}}