Amazon.com Services LLC

Robotics

SystemsDevelopmentEngineer,ManagedEdgeCompute(AmazonRobotics)

$129–175k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Systems Development Engineer, Managed Edge Compute (Amazon Robotics) at Amazon.com Services LLC. Skills: Edge compute, Device management, Robotics systems, Cloud infrastructure. Build resilient distributed systems. Maintain scalable distributed systems”

What You'll Achieve.

99.99%+ availability; Enable self-service; Reduce operational load; Improve agility; Reduce complexity; Improve resilience; Improve performance; Improve cost efficiency

Industry & Context.

Robotics
Problems you'll solve

Troubleshooting; Root cause analysis; Problem-solving

What They're Looking For.

Must Have

Automating, deploying, and supporting large-scale infrastructure, Programming with Python, Ruby, Golang, Java, C++, C#, Rust, Linux/Unix experience, CI/CD pipelines build processes experience

Nice to Have

Distributed systems at scale experience

What You'll Do.

Build resilient distributed systems

Maintain scalable distributed systems

Contribute to technical strategy

Participate in architectural reviews

Participate in design discussions

Develop automation solutions

Implement Linux-based systems

Create OS image pipelines

Create tooling for robotics teams

Provision edge compute fleets

Configure edge compute fleets

Manage edge compute fleets

Apply engineering standards

Suggest process improvements

Identify process streamlining

Eliminate excess processes

Identify and escalate risks

Troubleshoot production issues

Identify incident patterns

Implement preventative solutions

Partner with robotics teams

Translate device management challenges

Deliver inventive solutions

Deliver resilient solutions

Deliver extensible solutions

Participate in hiring

How You'll Work.

Team & Collaboration

Partner with engineers; Cross-functional teams; Robotics customer teams; Robotics solution teams; Peer problem-solving

Communication Scope

Code reviews

Full Job Description

We're seeking a Systems Development Engineer to join the Unified Workcell Compute team. This is a hands-on, high-impact role where you'll design and build systems that manage Amazon's edge device fleet — over a million devices across thousands of locations worldwide. You'll work at the intersection of cloud infrastructure, device management, robotics systems, and operational excellence, solving complex technical problems that enable Amazon's robotics and fulfillment operations to scale globally. As a SysDE II, you'll be a strong individual contributor who delivers high-quality technical solutions, contributes to architectural discussions, and builds reliable systems that enable robotics and automation teams to deploy and manage their edge compute solutions with the same ease as deploying to AWS. You'll work within established technical strategies while identifying opportunities for improvement, translating well-scoped business problems into concrete technical solutions, and balancing short-term delivery with long-term system health. This role requires solid technical depth across multiple domains — Linux systems, AWS services, IoT platforms, robotics compute infrastructure, and distributed systems — combined with the ability to partner effectively with engineers across the team and organization. Key job responsibilities - Build and maintain resilient, scalable distributed systems that operate at Amazon scale, contributing to the management of robotics device fleets across thousands of sites with 99.99%+ availability requirements. - Contribute to the technical strategy for your team's systems within the UWC architecture, participating in decisions around hyperscale deployments, robotics compute patterns, fleet management, and edge device automation. - Participate in architectural reviews and design discussions across UWC and robotics customer teams, contributing technical input on device lifecycle management, software distribution, multi-compute workcell assistance,

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