Software Development Engineer, AI Data Infrastructure

Amazon; Reading (MA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

RSU eligibility

Job summary

Amazon is seeking Software Development Engineers to help build a data management platform handling petabyte-scale multi-modal datasets from robotic workcells. You will own the lifecycle of code from design to deployment in a fast-paced, scalable environment.

Join a team enabling science through data discovery, reproducibility, and automation, with mentorship and opportunities to impact robotics and AI applications globally.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture (patterns, reliability, scaling) for large systems.
• Experience developing multi-tiered, distributed software using C#, C++, Java, or Perl.

Responsibilities

• Design and build data ingestion pipelines for multi-modal recordings into structured datasets.
• Develop search and discovery services across large catalogs.
• Build data transformation and quality validation frameworks for data quality.

Skills

Problem solving

Team collaboration

Effective communication

Education

Bachelor's degree in CS/Engineering/Math or related field

Tools

C#

C++

Java

Perl

Job description

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.

Key job responsibilities

• 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.

A day in the life

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:

1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale,

Basic Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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.Reading - 143,700.00 - 194,400.00 USD annually