Amazon
Software Development Engineer-Infrastructure, Frontier AI Robotics
Amazon, San Francisco, California, United States, 94199
Software Development Engineer – Infrastructure, Frontier AI Robotics
Job ID: 3156633 | Amazon.com Services LLC
Build and maintain scalable data infrastructure to support cutting‑edge 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.
About 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. 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.
Responsibilities • Build and maintain scalable data infrastructure to support AI robotics research.
• Design dataset management systems with 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 infrastructure development and hands‑on technical contribution to data preparation workflows.
Basic Qualifications
3+ years of non‑internship professional software development experience
1+ years of designing and developing large‑scale, multi‑tiered, multi‑threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
EEO Statement Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Fair Chance Ordinances Los Angeles County applicants: We will consider qualified applicants with arrest and conviction records pursuant to the Los Angeles County Fair Chance Ordinance. San Francisco Fair Chance Ordinance: We will consider qualified applicants with arrest and conviction records.
Benefits Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage; 401(k) matching, paid time off, and parental leave. Learn more at
https://amazon.jobs/en/benefits .
Salary & Location USA, CA, San Francisco – $165,200.00 – $223,600.00 USD annually.
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Build and maintain scalable data infrastructure to support cutting‑edge 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.
About 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. 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.
Responsibilities • Build and maintain scalable data infrastructure to support AI robotics research.
• Design dataset management systems with 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 infrastructure development and hands‑on technical contribution to data preparation workflows.
Basic Qualifications
3+ years of non‑internship professional software development experience
1+ years of designing and developing large‑scale, multi‑tiered, multi‑threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
Preferred Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
EEO Statement Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Fair Chance Ordinances Los Angeles County applicants: We will consider qualified applicants with arrest and conviction records pursuant to the Los Angeles County Fair Chance Ordinance. San Francisco Fair Chance Ordinance: We will consider qualified applicants with arrest and conviction records.
Benefits Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional Supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage; 401(k) matching, paid time off, and parental leave. Learn more at
https://amazon.jobs/en/benefits .
Salary & Location USA, CA, San Francisco – $165,200.00 – $223,600.00 USD annually.
#J-18808-Ljbffr