{"schemaVersion":"jobsearcher.job.v1","id":"451232e643b819ef56dd17b3","url":"https://jobsearcher.com/jobs/451232e643b819ef56dd17b3","canonicalUrl":"https://jobsearcher.com/jobs/451232e643b819ef56dd17b3","title":"Research Engineer, Domain Scaling","description":"Normal Computing | Build with UsNormal 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, San Francisco, London, Copenhagen, and Pangyo.The RoleThe Domain Scaling team has the goal of making Normal's Agents world-class at anything Chip-Engineering and EDA-related, UVM, debugging, analog, lean formalization, materials-aware optimization, etc. This is a unique role that combines executing directly on applied research and data sourcing (real-world and synthetic) to improve our models.You'll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.What You Will OwnOwn the data strategy for knowledge work verticals end-to-end, from task sourcing through RL trainingBuild and manage relationships with external vendors, including outreach, evaluation of data quality, and reward designCollaborate with domain experts to design data pipelines and evaluationsExplore novel ways of creating RL environments for high-value tasksDevelop and improve QA frameworks to catch reward hacking and ensure environment qualityRun generalization experiments to measure how data strategy changes improve model capabilitiesPartner with other AI researchers and product teams to translate capability goals into training environments, evals, and real product featuresWhat Makes You a Great FitHave experience with post-training large language models for specific domains or real-world use casesHave experience with reinforcement learning, reward design, or training data curation for LLMsAre comfortable managing technical vendor relationships and iterating quickly on feedbackFind value in reading through datasets to understand them and spot issuesHave strong cross-functional collaboration skillsAre passionate about making AI more useful for chip development and recursive hardware self-improvementAre excited about a role that includes a combination of applied research and hands-on data workBonus PointsHave experience training production ML systemsHave experience designing evals or benchmarks for LLMsHave domain expertise in a vertical where we would like to make our models more usefulHave experience working with external vendors or technical partnersEqual Employment Opportunity StatementNormal 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 AccommodationsNormal 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 NoticeBy 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.","company":"Normal Computing","rawCompany":"normal computing","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-11T07:48:26.232Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"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":"Research Engineer, Domain Scaling","description":"Normal Computing | Build with UsNormal 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, San Francisco, London, Copenhagen, and Pangyo.The RoleThe Domain Scaling team has the goal of making Normal's Agents world-class at anything Chip-Engineering and EDA-related, UVM, debugging, analog, lean formalization, materials-aware optimization, etc. This is a unique role that combines executing directly on applied research and data sourcing (real-world and synthetic) to improve our models.You'll own the end-to-end process of creating RL environments for new capabilities: identifying high-value tasks, designing reward signals, managing vendor relationships, and measuring impact on model performance.What You Will OwnOwn the data strategy for knowledge work verticals end-to-end, from task sourcing through RL trainingBuild and manage relationships with external vendors, including outreach, evaluation of data quality, and reward designCollaborate with domain experts to design data pipelines and evaluationsExplore novel ways of creating RL environments for high-value tasksDevelop and improve QA frameworks to catch reward hacking and ensure environment qualityRun generalization experiments to measure how data strategy changes improve model capabilitiesPartner with other AI researchers and product teams to translate capability goals into training environments, evals, and real product featuresWhat Makes You a Great FitHave experience with post-training large language models for specific domains or real-world use casesHave experience with reinforcement learning, reward design, or training data curation for LLMsAre comfortable managing technical vendor relationships and iterating quickly on feedbackFind value in reading through datasets to understand them and spot issuesHave strong cross-functional collaboration skillsAre passionate about making AI more useful for chip development and recursive hardware self-improvementAre excited about a role that includes a combination of applied research and hands-on data workBonus PointsHave experience training production ML systemsHave experience designing evals or benchmarks for LLMsHave domain expertise in a vertical where we would like to make our models more usefulHave experience working with external vendors or technical partnersEqual Employment Opportunity StatementNormal 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 AccommodationsNormal 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 NoticeBy 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.","datePosted":"2026-09-11T07:48:26.232Z","dateModified":"2026-09-11T07:48:26.232Z","hiringOrganization":{"@type":"Organization","name":"Normal Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"451232e643b819ef56dd17b3"},"url":"https://jobsearcher.com/jobs/451232e643b819ef56dd17b3"}}