Amazon
Software Development Engineer II, Amazon Robotics - Manipulation
$144K–$194K
Seattle, WA +2 · Full-time · Posted Jul 17, 2026
- Location
- Seattle, WA
North Reading, MA
Westboro, MA - Experience
- 3+ years of non-internship professional software development; 2+ years of non-internship design or architecture experience. Preferred: 3+ years of full software development life cycle experience.
- Education
- Bachelor's degree in computer science or equivalent.
About the job
Designs, builds, and operates distributed systems that support robotics workcells, machine-learning workflows, and large-scale data processing across Amazon’s fulfillment network.
What you'll do
- Build real-time scoring, data, monitoring, and visualization systems for robotics workcells.
- Develop annotation orchestration and model deployment infrastructure across edge devices, cloud services, and planning systems.
- Own systems from design through production operations, working with scientists and engineering partners.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
- Experience programming with at least one software programming language.
- Bachelor's degree in computer science or equivalent; experience designing and building distributed systems or data-intensive applications; and full software development lifecycle experience.
Nice to have
- Experience with ML infrastructure, event-driven architectures, AWS services, developer tools, data platforms, or observability systems.
- Experience in robotics or computer vision; familiarity with ML concepts or infrastructure-as-code.
Pay
143,700.00 - 194,400.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary)
Tools
Kinesis, Kafka, SQS, ECS, Lambda, SageMaker, DynamoDB, S3
AI focus
Builds and operates ML infrastructure, including annotation orchestration, model training and deployment, model monitoring, predictive models, and VLM-based fleet anomaly detection.
Model-written summary · the original posting is authoritative