Job Description
Are you passionate about leveraging cutting-edge technology to revolutionize large-scale robotics operations? Do you thrive on solving complex challenges and driving continuous improvement in world-class automated systems? Join Amazon's Central RME Amazon Robotics Portfolio Team as a System Development Engineer and help shape the future of automated fulfillment!
As a System Development Engineer on the Central RME Amazon Robotics Portfolio Team, you will be at the forefront of developing and supporting software systems that drive the maintenance, reliability, and operations of Amazon's global fleet of robotics. You'll be the primary point of contact for internal customers and partners, bridging the gap between field operations and engineering teams.
In this dynamic role, you'll create innovative solutions to improve robot availability, performance, quality, and cost-effectiveness across our vast network. You'll dive deep into data from various sources, including databases, PLCs, sensors, and maintenance records to identify improvement opportunities and drive data-informed decision-making.
Your work will directly impact hundreds of thousands of robotic assets across Amazon's global network, ensuring optimal performance and availability. You'll balance business needs with technical constraints, striving to find the right solutions while maintaining a strong focus on standards, scalability, and supportability. Amazon?s global network. The ability to build productive relationships with colleagues and customers at remote sites around the world will make you successful in this role, as will patience and a sense of humor. You will frequently travel to various facilities in North America, and Europe
Key job responsibilities
Develop cloud-based data tools, analytics, and reporting systems to optimize robotics operations
Create and deploy proof-of-concept and minimum viable products for field testing
Build and optimize CI/CD pipelines using Infrastructure as Code (IaC) and AWS CDK
Implement proactive issue detection, monitoring, and reporting systems
Leverage automation, ML, and AI to drive insights and scale team efficiency
Document system designs, runbooks, and internal processes
Collaborate with cross-functional teams to improve robotics maintenance and reliability
Analyze large-scale data from various sources to identify improvement opportunities
Participate in failure analysis and incident review processes
Engage customers to understand and document business requirements
Drive problems to root cause and manage implementation programs for corrective actions
Recommend alternative technical approaches and direct cross-functional efforts to meet
timelines
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!
Basic Qualifications
Are enrolled in or have completed a Bachelor's degree in electrical engineering, computer engineering, or equivalent
Experience in automating, deploying, and supporting infrastructure
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
Experience with Linux/Unix
Ability to travel up to 25% to various sites globally
Preferred Qualifications
Experience leveraging generative AI in software development
Familiarity with AWS services, SDK, and CDK
Experience with CI/CD pipelines and Infrastructure as Code (IaC)
Knowledge of design patterns, reliability, and scaling techniques
Proficiency in SQL and data analysis using Python or R
Experience with machine learning and AI technologies
Background in robotics, automation, or large-scale distributed systems
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Understanding of industrial automation, including robotics system components/controls, HMI components, and motion control
Experience with databases, data pipelines, and integration of disparate data platforms/systems
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information,
please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
As a System Development Engineer on the Central RME Amazon Robotics Portfolio Team, you will be at the forefront of developing and supporting software systems that drive the maintenance, reliability, and operations of Amazon's global fleet of robotics. You'll be the primary point of contact for internal customers and partners, bridging the gap between field operations and engineering teams.
In this dynamic role, you'll create innovative solutions to improve robot availability, performance, quality, and cost-effectiveness across our vast network. You'll dive deep into data from various sources, including databases, PLCs, sensors, and maintenance records to identify improvement opportunities and drive data-informed decision-making.
Your work will directly impact hundreds of thousands of robotic assets across Amazon's global network, ensuring optimal performance and availability. You'll balance business needs with technical constraints, striving to find the right solutions while maintaining a strong focus on standards, scalability, and supportability. Amazon?s global network. The ability to build productive relationships with colleagues and customers at remote sites around the world will make you successful in this role, as will patience and a sense of humor. You will frequently travel to various facilities in North America, and Europe
Key job responsibilities
Develop cloud-based data tools, analytics, and reporting systems to optimize robotics operations
Create and deploy proof-of-concept and minimum viable products for field testing
Build and optimize CI/CD pipelines using Infrastructure as Code (IaC) and AWS CDK
Implement proactive issue detection, monitoring, and reporting systems
Leverage automation, ML, and AI to drive insights and scale team efficiency
Document system designs, runbooks, and internal processes
Collaborate with cross-functional teams to improve robotics maintenance and reliability
Analyze large-scale data from various sources to identify improvement opportunities
Participate in failure analysis and incident review processes
Engage customers to understand and document business requirements
Drive problems to root cause and manage implementation programs for corrective actions
Recommend alternative technical approaches and direct cross-functional efforts to meet
timelines
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!
Basic Qualifications
Are enrolled in or have completed a Bachelor's degree in electrical engineering, computer engineering, or equivalent
Experience in automating, deploying, and supporting infrastructure
Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
Experience with Linux/Unix
Ability to travel up to 25% to various sites globally
Preferred Qualifications
Experience leveraging generative AI in software development
Familiarity with AWS services, SDK, and CDK
Experience with CI/CD pipelines and Infrastructure as Code (IaC)
Knowledge of design patterns, reliability, and scaling techniques
Proficiency in SQL and data analysis using Python or R
Experience with machine learning and AI technologies
Background in robotics, automation, or large-scale distributed systems
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Understanding of industrial automation, including robotics system components/controls, HMI components, and motion control
Experience with databases, data pipelines, and integration of disparate data platforms/systems
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information,
please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key skill Required
- Java
- SQL
- Software Development
- JAVA
- Python
- AWS
- Automation
- Data Analysis
- Java
- CI/CD
- Analysis
- Analytics
- Collaboration
- Communication
- Computer Engineering
- Data Pipelines
- Design
- Development
- Effectiveness
- Electrical Engineering
- Failure Analysis
- Field Operations
- Field Testing
- Implementation
- Inclusive
- Industrial Automation
- Infrastructure
- Infrastructure as Code
- Integration
- Learning
- Linux
- Machine Learning
- Maintenance
- Motion Control
- Onboarding
- Orientation
- Passionate
- Proactive
- Reporting
- Robotics
- Rust
- Scalability
- Scaling
- Sense of Humor