Software Development Engineer, AI Data Infrastructure
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content.
We need to parse the job posting.
First, description includes intro paragraphs about role, mission, etc. That could be "About the role". Then responsibilities list (Key job responsibilities). Then "A day in the life" includes benefits description. Then "Basic Qualifications" and "Preferred Qualifications". Also "Benefits" section described. Also "Pay" includes salary range. Also maybe "Schedule"? Not mentioned. So we include About the role, Responsibilities, Qualifications (maybe combine Basic and Preferred?), Benefits, Pay. Skills? Not explicit separate list; maybe we can include under Qualifications. The instruction: Use headings for those specific names if content exists. We'll include:
About the role
with paragraphs summarizing the introductory description (not repeating job title). Must preserve all substantive information; we can't invent or summarize away detail. We need to keep the content but can rephrase? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." That suggests we should keep the original wording, not summarizing. But we can format into
tags. We should not omit any detail. So we need to copy the descriptive paragraphs exactly (or at least not lose info). However we can split into multiple
tags but must keep all sentences. We need to remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. Also remove "If you are not sure that every qualification..." etc? That's encouraging to apply; maybe considered application instruction? It's more like encouragement but not instruction to apply. Might be considered boilerplate? The instruction says remove application instructions. That line is not exactly instruction to apply but encouraging. Safer to keep? It's not an instruction; it's a statement. Might keep. We also need to remove duplicated lines. There's duplication of benefits description later. We need to include Pay section with salary range: "USA, MA, N.Reading - 143,700.00 - 194,400.00 USD annually". Also mention sign-on payments and RSUs etc. That's part of compensation. So we include Pay. Benefits: list of benefits: Medical, Dental, Vision Coverage, Maternity and Parental Leave Options, Paid Time Off (PTO), 401(k) Plan, plus later comprehensive benefits list: health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, parental leave. We need to preserve all substantive info; we can combine but not lose detail. Might be repetitive; we can combine into a single list but ensure we don't lose any. We'll include all items. Responsibilities: list from "Key job responsibilities". Each bullet starts with a verb. We'll put each as
Qualifications
and then within that we can havefor Basic Qualifications and
for Preferred Qualifications, or separate
- lists. The instruction: Use
- for any list of duties/requirements/benefits. So we should put Basic Qualifications as
- ... each line. Similarly Preferred Qualifications as another list.
We must not repeat job title as heading. Not include Job ID.
We must not include sections like Skills if no specific content. We'll omit Skills.
Schedule: not mentioned, omit.
Now produce HTML fragment.
We need to ensure we don't include markdown fences.
Let's craft.
First, About the role: combine the introductory paragraphs up to "Key job responsibilities". Let's extract:
"Do you want to build the data infrastructure that powers the next generation of robotics and AI? Do you enjoy designing scalable platforms that help scientists discover, access, and transform complex multi-modal datasets? Do you want to see your work directly accelerate how robots learn? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. We are building a data management platform that ingests, processes, and serves petabyte-scale multi-modal datasets — including video, sensor telemetry, and structured metadata — captured from instrumented robotic workcell environments. Our platform enables science teams to discover relevant datasets in minutes instead of weeks, transform raw data into training-ready formats, and maintain full data lineage and reproducibility across experiments. You'll work at the intersection of data engineering, AI/ML infrastructure, and robotics — building systems that directly enable foundation model training for robotic manipulation. At Amazon, we believe in ownership at every level. As an SDE, you'll own the entire lifecycle of your code — from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth."
That's a lot; we keep it as is, maybe split into paragraphs for readability but must preserve all info. We'll put each sentence as separate
or combine; but we must not lose any. We'll just wrap the whole block in
maybe multiple
for readability but it's okay. Now Responsibilities: list each bullet. Let's extract bullets: - Design and build data ingestion pipelines that process continuous multi-modal recordings (video, pose tracking, force/tactile telemetry) from instrumented capture environments into structured, searchable datasets. - Develop search and discovery services that enable scientists to find relevant datasets across large catalogs using keyword, metadata filtering, and semantic search capabilities. - Build data transformation and quality validation frameworks that automate repetitive data processing tasks and enforce data quality standards across registered datasets. - Implement episode segmentation workflows that process continuous session recordings into discrete, labeled task executions with synchronized multi-stream alignment. - Collaborate with science teams to understand their data access patterns and build programmatic interfaces that integrate with ML training workflows and notebook environments. - Design and develop scalable solutions using cloud-native architectures (AWS services including S3, OpenSearch, Lambda, Step Functions) in a large distributed computing environment. - Contribute to metadata enrichment tooling and automated documentation generation that improves dataset discoverability and reduces producer onboarding friction. - Participate in code reviews, contribute to technical documentation, and maintain operational excellence through monitoring, alerting, and on-call responsibilities. - Work in an agile environment practicing CI/CD principles while building resilient, fault-tolerant distributed systems. - Leverage and contribute to AI-powered tools (including GenAI capabilities) to enhance development productivity and data quality automation. Now Qualifications: Basic Qualifications list: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 2+ 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 - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Now Benefits: we have two descriptions. Let's combine unique items. First benefits paragraph: "Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan" Second benefits paragraph later: "Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for 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." We need to preserve all. So we can list items: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan - Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage) - 401(k) matching - Paid time off (already listed but we can keep) - Parental leave (already listed but we can keep) We might have duplicates; but we should not lose detail. Could keep both but note duplicates. It's okay to have duplicates? Might be considered redundant but not invented. We'll keep as is but maybe combine to avoid duplication while preserving all info: we can mention that 401(k) Plan and matching are both offered; PTO and parental leave appear twice but we can note they are offered. To preserve all, we could list each mention but that seems redundant. Safer to list each distinct benefit; duplicates not needed to preserve all substantive info because the info is same. The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." If we drop a duplicate mention, we are not losing substantive info because it's same info repeated. So we can deduplicate. Thus benefits list: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 401(k) Plan - 401(k) matching - Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage) - Parental leave But parental leave already covered in Maternity and Parental Leave Options; but we can keep both? Might be okay. Now Pay: include salary range and mention sign-on payments and RSUs. Text: "The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for 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 about our benefits at https://amazon.jobs/en/benefits. USA, MA, N.Read
- ... each line. Similarly Preferred Qualifications as another list.
We must not repeat job title as heading. Not include Job ID.
We must not include sections like Skills if no specific content. We'll omit Skills.
Schedule: not mentioned, omit.
Now produce HTML fragment.
We need to ensure we don't include markdown fences.
Let's craft.
First, About the role: combine the introductory paragraphs up to "Key job responsibilities". Let's extract:
"Do you want to build the data infrastructure that powers the next generation of robotics and AI? Do you enjoy designing scalable platforms that help scientists discover, access, and transform complex multi-modal datasets? Do you want to see your work directly accelerate how robots learn? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. We are building a data management platform that ingests, processes, and serves petabyte-scale multi-modal datasets — including video, sensor telemetry, and structured metadata — captured from instrumented robotic workcell environments. Our platform enables science teams to discover relevant datasets in minutes instead of weeks, transform raw data into training-ready formats, and maintain full data lineage and reproducibility across experiments. You'll work at the intersection of data engineering, AI/ML infrastructure, and robotics — building systems that directly enable foundation model training for robotic manipulation. At Amazon, we believe in ownership at every level. As an SDE, you'll own the entire lifecycle of your code — from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth."
That's a lot; we keep it as is, maybe split into paragraphs for readability but must preserve all info. We'll put each sentence as separate