Software Development Engineer II, Amazon Robotics - Manipulation
Amazon · Seattle, WA
$143,700–$194,400from the description
Jul 17, 2026
Seattle, WA
Jul 21, 2026
What this job asks for AI summary
A software engineering role focused on building and operating the distributed systems that power Amazon's robotic fulfillment workcells. Day-to-day work spans real-time inventory scoring services, ML deployment infrastructure, fleet monitoring, annotation orchestration, and data platforms — all running at warehouse scale. Best suited to engineers comfortable owning systems end-to-end across the full development lifecycle, with an interest in applied machine learning and large-scale data processing.
Mid level · 3+ years · Boston-Cambridge-Newton, MA-NH · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
Why we read it this way (8)
The title is plain 'SDE' (Software Development Engineer) with no level modifier; advertised seniority is Unspecified. The basic qualifications gate on 3+ years of professional software development and 2+ years of design/architecture experience, which maps to a Mid-level band — not Senior, despite the breadth of the role description.
The degree requirement states 'Bachelor's degree in computer science or equivalent,' which accepts equivalent experience in lieu of a degree, so the degree requirement is set to None.
The posting lists specific AWS services (ECS, Lambda, SageMaker, DynamoDB, S3, Athena) under Preferred Qualifications; they are captured individually as preferred skills rather than collapsed into a single 'AWS' entry, since each is a distinct service. A general 'AWS' skill is also retained to reflect the broader preferred cloud experience framing.
Event-driven / stream processing experience (Kinesis, Kafka, SQS) appears under Preferred Qualifications and is treated as preferred, with Kafka and SQS listed as alternatives to Kinesis since the JD presents them as interchangeable options for the same capability.
Infrastructure-as-code experience (CDK or CloudFormation) is listed under Preferred Qualifications; CDK is the primary name with CloudFormation as the alternative.
ML infrastructure, ML concepts (model evaluation, data drift, active learning, annotation pipelines), robotics, and computer vision experience all appear under Preferred Qualifications. 'ML concepts' is omitted as it names no specific tool; computer vision is retained as a domain skill.
Compensation is quoted as a base salary range for the North Reading, MA location ($143,700–$194,400/year); the posting also mentions sign-on payments and RSUs but does not quantify them.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): software development.
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