{"schemaVersion":"jobsearcher.job.v1","id":"5aceefa9f8bdbaef3ffe67da","url":"https://jobsearcher.com/jobs/5aceefa9f8bdbaef3ffe67da","canonicalUrl":"https://jobsearcher.com/jobs/5aceefa9f8bdbaef3ffe67da","title":"Sr. SDE, Frontier AI Robotics","description":"Data Infrastructure EngineerBuild and maintain scalable data infrastructure to support novel AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands-on technical contribution to data preparation workflows.\r\nAbout the team At Frontier AI & Robotics, we're not just advancing robotics we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.\r\nBasic qualifications:\r\n5+ years of non-internship professional software development experience\r\n5+ years of programming with at least one software programming language experience\r\n5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\r\nExperience as a mentor, tech lead or leading an engineering team\r\nStrong software engineering background with full-stack development experience\r\nDeep understanding of machine learning fundamentals, particularly large-scale model training\r\nExpertise in distributed systems, cloud computing, and scalable data processing\r\nExperience with data pipeline design, ETL processes, and data management systems\r\nProficiency in translating academic concepts into production systems\r\nPreferred qualifications:\r\n5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\r\nBachelor's degree in computer science or equivalent\r\nExperience with dataset curation and quality assessment techniques\r\nKnowledge of computer vision and multimodal data processing\r\nBackground in research environments or supporting ML research workflows\r\nExperience with data visualization and annotation tooling\r\nFamiliarity with modern data filtering and deduplication methodologies\r\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers.","company":"Amazon Technologies","rawCompany":"amazon technologies","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:06:05.969Z","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":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. SDE, Frontier AI Robotics","description":"Data Infrastructure EngineerBuild and maintain scalable data infrastructure to support novel AI robotics research. Design dataset management systems including automated pipelines for data ingestion, processing, and curation. Develop visualization and inspection tools for dataset exploration and quality assessment. Research and implement state-of-the-art data filtering techniques including deduplication, quality scoring, and model-based filtering methods. Collaborate directly with science teams to support research projects through both infrastructure development and hands-on technical contribution to data preparation workflows.\r\nAbout the team At Frontier AI & Robotics, we're not just advancing robotics we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.\r\nBasic qualifications:\r\n5+ years of non-internship professional software development experience\r\n5+ years of programming with at least one software programming language experience\r\n5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience\r\nExperience as a mentor, tech lead or leading an engineering team\r\nStrong software engineering background with full-stack development experience\r\nDeep understanding of machine learning fundamentals, particularly large-scale model training\r\nExpertise in distributed systems, cloud computing, and scalable data processing\r\nExperience with data pipeline design, ETL processes, and data management systems\r\nProficiency in translating academic concepts into production systems\r\nPreferred qualifications:\r\n5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\r\nBachelor's degree in computer science or equivalent\r\nExperience with dataset curation and quality assessment techniques\r\nKnowledge of computer vision and multimodal data processing\r\nBackground in research environments or supporting ML research workflows\r\nExperience with data visualization and annotation tooling\r\nFamiliarity with modern data filtering and deduplication methodologies\r\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers.","datePosted":"2026-04-09T08:06:05.969Z","dateModified":"2026-04-09T08:06:05.969Z","hiringOrganization":{"@type":"Organization","name":"Amazon Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5aceefa9f8bdbaef3ffe67da"},"url":"https://jobsearcher.com/jobs/5aceefa9f8bdbaef3ffe67da"}}