Software Development Engineer , Amazon Robotics (AR) Sortation Planning
Apply NowCompany: Amazon
Location: Reading, MA 01867
Description:
Are you inspired by invention? Is problem-solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture?
Answer yes to any of these, and you'll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply leading-edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences. We invent new improvements every day and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
As a Software Development Engineer with a focus on Machine Learning on the AR Sortation Planning team, you will be foundational in establishing and growing a machine learning practice to power intelligent robotic workcells. You will design and deploy ML models that optimize sortation efficiency, enhance safety and ergonomics, and enable adaptive decision-making in robotic workflows. You'll collaborate with robotics, controls, and simulation teams to integrate perception and prediction models into real-world and simulated systems. Your work will directly impact how our robotic systems operate at scale, making measurable improvements in performance, safety, and associate satisfaction.
Key job responsibilities
* Build scalable, flexible, and maintainable ML-driven software solutions for robotic workcell & workflow optimization.
* Design and implement machine learning models for perception, classification, prediction, and control optimization in robotic environments.
* Collaborate with cross-disciplinary teams including data scientists, data engineers, simulation developers, and operations leaders.
* Develop and manage data pipelines, model training workflows, and deployment infrastructure using AWS services.
* Conduct offline and in-simulation experimentation and analysis to inform model development and system improvements.
* Contribute to technical architecture and roadmap to grow ML capability within the AR Sortation Planning team.
* Own production ML systems end-to-end, including monitoring, retraining, and continuous improvement.
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.
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, Robotics, or a related field.
- 5+ years of professional experience in software engineering or applied ML.
- Strong programming skills in Python and/or Java, and proficiency with ML libraries such as PyTorch, TensorFlow, or Scikit-learn.
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
Answer yes to any of these, and you'll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply leading-edge advances in robotics and software to solve real-world challenges that will transform our customers' experiences. We invent new improvements every day and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
As a Software Development Engineer with a focus on Machine Learning on the AR Sortation Planning team, you will be foundational in establishing and growing a machine learning practice to power intelligent robotic workcells. You will design and deploy ML models that optimize sortation efficiency, enhance safety and ergonomics, and enable adaptive decision-making in robotic workflows. You'll collaborate with robotics, controls, and simulation teams to integrate perception and prediction models into real-world and simulated systems. Your work will directly impact how our robotic systems operate at scale, making measurable improvements in performance, safety, and associate satisfaction.
Key job responsibilities
* Build scalable, flexible, and maintainable ML-driven software solutions for robotic workcell & workflow optimization.
* Design and implement machine learning models for perception, classification, prediction, and control optimization in robotic environments.
* Collaborate with cross-disciplinary teams including data scientists, data engineers, simulation developers, and operations leaders.
* Develop and manage data pipelines, model training workflows, and deployment infrastructure using AWS services.
* Conduct offline and in-simulation experimentation and analysis to inform model development and system improvements.
* Contribute to technical architecture and roadmap to grow ML capability within the AR Sortation Planning team.
* Own production ML systems end-to-end, including monitoring, retraining, and continuous improvement.
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.
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, Robotics, or a related field.
- 5+ years of professional experience in software engineering or applied ML.
- Strong programming skills in Python and/or Java, and proficiency with ML libraries such as PyTorch, TensorFlow, or Scikit-learn.
- 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.