Software Development Engineer II, Amazon Robotics Manipulation

The Fleet Performance Optimization (FPO) organization builds the intelligence layer for Amazon Robotics manipulation workcells. We own the systems that select what work a robot should attempt monitor how it performs and close the loop by improving models with every induct. Our platforms serve Sparrow Cardinal FlexCell and Robin workcells that handle millions of packages across Amazons fulfillment network.

We operate across the full ML and data lifecycle:

Work Selection Intelligence Eligibility scoring and predictions (likelihood-to-empty damage prediction time-to-process pick eligibility) that feed into work planners identifying which totes and items reach each workcell.

Data & Observability A common datalake collecting telemetry from every automated and manual workcell fleet monitoring that detects performance degradation in real time and alerts Ops and deep-dive tooling that enables engineers and scientists to investigate workcell behavior.

ML Lifecycle Annotation orchestration model training pipelines production monitoring and deployment infrastructure that keeps models current across the fleet.

Predictive Models Science-developed foundational models applied to eligibility fleet performance forecasting and dynamic floor policies that adapt to changing conditions without manual intervention.

Our systems process tens of millions of events daily serve real-time scoring at workcell-runtime latency and directly impact fulfillment cost per unit.


Key job responsibilities
As an SDE on FPO you will design build and operate distributed systems that sit at the intersection of robotics machine learning and large-scale data processing. You will work closely with scientists program facilators and partner engineering teams to translate research into production systems that operate reliably at fleet scale.

Depending on the team your work may include:

- Building high-throughput event-based scoring services that process real-time inventory signals across 10 warehouses and hundreds of workcells
- Designing config-based annotation orchestration systems that onboard new ML data pipelines without code changes
- Developing model deployment infrastructure spanning edge devices cloud inference services and planning systems
- Building fleet monitoring systems that use VLMs and statistical methods to detect performance anomalies and surface root causes
- Creating unified data exploration and visualization tools used daily by engineers scientists and operations
- Implementing ongoing learning systems that intelligently select which data to collect based on inference outcomes
- Extending our foundation models which are the backbone for multiple prediction tasks
- Own your systems end-to-end from design through production operations and your work will have direct measurable impact on workcell throughput quality and cost.

A day in the life
Amazon offers a full range of benefits for 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 wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!

About the team
Why FPO
Impact at scale Your code runs on hundreds of workcells processing millions of packages. Improvements compound across the fleet.

Science meets engineering You work alongside ML scientists and translate their research into production systems. You dont just deploy models you build the platforms that make the entire ML lifecycle faster.

Breadth of problems From real-time scoring services to VLM-based monitoring to data platform design the technical surface area is wide and deep.

Ownership Small teams high self-governance direct line from your work to business outcomes.


- 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
- Experience programming with at least one software programming language
- Bachelors degree in computer science or equivalent
- Experience designing and building distributed systems or data-intensive applications
- Experience with the full software development lifecycle: design implementation testing deployment and operations

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience with ML infrastructure (training pipelines model serving feature stores monitoring)
- Experience with event-driven architectures and stream processing at scale (Kinesis Kafka SQS)
- Experience with AWS services (ECS Lambda SageMaker DynamoDB S3 Athena)
- Experience building developer tools data platforms or observability systems
- Familiarity with ML concepts (model evaluation data drift active learning annotation pipelines)
- Experience working in robotics or computer vision
- Experience with infrastructure-as-code (CDK CloudFormation)
- Strong written communication skills ability to author design documents and influence technical decisions

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 for more information. If the country/region youre applying in isnt 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 MA North Reading - 143700.00 - 194400.00 USD annually