Are you motivated by building systems that solve complex, real-world problems at scale? Do you enjoy working with teams to turn ideas into production systems that have measurable impact?
At Amazon Robotics, we are a team of builders applying advances in robotics, software, and AI to transform how fulfillment networks operate. Our work directly shapes the efficiency, safety, and reliability of systems used across Amazon’s global operations.
Are you excited about building systems that don’t just predict—but reason and take action in real-world environments?
The AR Sortation Insights team develops intelligent platforms that power next-generation warehouse operations across three key areas:
Simulation – modeling and optimizing robotic workflows ML Ops – scalable data pipelines, model training, and inference systems Intelligent Decision Systems – agentic AI systems that observe, reason, and act in real time
This role is focused on building intelligent, closed-loop decision systems that continuously monitor operational signals, generate insights, and safely trigger actions to optimize robotic workflows at scale.
As a Software Development Engineer, you will design and build systems that combine machine learning, real-time data processing, simulation, and large language models (LLMs). Your work will directly influence how Amazon’s robotic systems operate—driving measurable improvements in throughput, safety, and efficiency across global fulfillment networks.
Key job responsibilities Design and build agentic AI systems that combine machine learning models, real-time data, and LLM-driven reasoning to automate operational decision-making in robotic workflows. Develop end-to-end decision systems that observe system state, generate insights, and trigger safe, validated actions through robust safeguards and control mechanisms. Build scalable, event-driven architectures on AWS to support real-time and batch processing for inference, decisioning, and continuous feedback loops. Design and implement machine learning models for perception, classification, prediction, and optimization, and integrate them into production systems. Develop and manage data pipelines, model training workflows, and deployment infrastructure, ensuring reliable and scalable ML Ops practices. Collaborate with simulation teams to test and validate decision strategies in virtual environments prior to production rollout. Conduct offline and in-simulation experimentation and analysis to continuously improve model performance and system outcomes. Partner with cross-functional teams including data scientists, data engineers, simulation developers, and operations leaders to deliver end-to-end solutions. Implement observability, monitoring, and evaluation frameworks to ensure reliability, safety, and performance of automated systems. Own production systems end-to-end, including deployment, monitoring, retraining, and continuous improvement. Contribute to the technical architecture and roadmap for agentic AI and ML-driven robotics platforms within AR Sortation Insights.
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:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 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, please apply!
About the team We have a talented, innovative and diverse team that works on innovative software driving human and robotic workflows, UI interfaces, AWS services at middle-mile Sortation centers within the Amazon Transportation Services network. We build algorithms to optimize sortation rates, improve safety and ergonomics, delight our associates, build simulations for our new robotic solutions, all while operating at Amazon scale.
Basic Qualifications
- 5+ 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 full stack development experience
- Experience building complex software systems that have been successfully delivered to customers
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Preferred Qualifications
- Master's degree in computer science, machine learning, engineering, or related fields
- 5+ years of software development experience
- Strong programming skills in Python and/or Java, and proficiency with AI frameworks like ( Strands,Langchain), AWS Bedrock,Langfuse and went through E2E Agentic AI development
- Solid understanding of machine learning algorithms, model evaluation, and data-driven optimization.
- Experience building and deploying ML models in production environments.
- Comfort working in a fast-paced, high-impact team environment with end-to-end ownership.
- Experience building and maintaining applications with JVM-based languages, such as Java, Kotlin, Scala.
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
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