Sr. Software Development Engineer, Amazon Robotics Manipulation
About The Position
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 Amazon's fulfillment network. We operate across the full ML and data lifecycle, including Work Selection Intelligence, Data & Observability, ML Lifecycle, and Predictive Models. Our systems process tens of millions of events daily, serve real-time scoring at workcell-runtime latency, and directly impact fulfillment cost per unit.
Requirements
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree in computer science or equivalent
Nice To Haves
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience building complex software systems that have been successfully delivered to customers
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
- Experience working in robotics, or computer vision
Responsibilities
- Design, build, and operate distributed systems that sit at the intersection of robotics, machine learning, and large-scale data processing.
- Work closely with scientists, program leads, and partner engineering teams to translate research into production systems that operate reliably at fleet scale.
- Build high-throughput, event-based scoring services that process real-time inventory signals across 10+ warehouses and hundreds of workcells.
- Design config-based annotation orchestration systems that onboard new ML data pipelines without code changes.
- Develop model deployment infrastructure spanning edge devices, cloud inference services, and planning systems.
- Build fleet monitoring systems that use VLMs and statistical methods to detect performance anomalies and surface root causes.
- Create unified data exploration and visualization tools used daily by engineers, scientists, and operations.
- Implement ongoing learning systems that intelligently select which data to collect based on inference outcomes.
- Extend our foundation models, which are the backbone for multiple prediction tasks.
- Own systems end-to-end — from design through production operations — and ensure work has direct, measurable impact on workcell throughput, quality, and cost.
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Senior
