Software Development Engineer , Amazon Robotics (AR) Sortation Planning
Amazon.com
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:
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, 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.
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:
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, 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.
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