Software Engineer II - Robotics & ML Platforms

Relha LLC

Seattle, Northern (WA, KY)

Hybrid

USD 144,000 - 194,000

Full time

27 hours ago
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Job summary

Amazon Robotics is seeking a Software Development Engineer II to join the Manipulation team. You will design, build, and operate distributed systems and ML data pipelines that scale across multiple workcells and warehouses.

You will collaborate with scientists and partner teams to translate research into production systems, deploying models and building the platforms that enable real-time scoring, monitoring, and fleet optimization at scale.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • Experience designing and building distributed systems or data-intensive applications.
  • Experience with the full software development lifecycle: design, implementation, testing, deployment, and operations.

Responsibilities

  • Design, build, and operate distributed systems at fleet scale.
  • Collaborate with scientists and partner teams to translate research into production systems.
  • Build high-throughput, event-based scoring services across warehouses.
  • Develop model deployment infrastructure spanning edge devices and cloud services.
  • Create monitoring and observability tools to surface root causes.
  • Own systems end-to-end from design through production operations.

Skills

Distributed systems
Data-intensive apps
Programming in at least one language
Full software development lifecycle
Documentation and design writing

Education

Bachelor's degree in computer science or equivalent

Tools

AWS (ECS, Lambda, SageMaker, DynamoDB, S3, Athena)
Kinesis / Kafka / SQS
CDK / CloudFormation

Job description

Amazon Robotics is seeking a Software Development Engineer II to join the Manipulation team. You will design, build, and operate distributed systems and ML data pipelines that scale across multiple workcells and warehouses.

You will collaborate with scientists and partner teams to translate research into production systems, deploying models and building the platforms that enable real-time scoring, monitoring, and fleet optimization at scale.

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