Edge Compute Robotics Software Engineer

Amazon

Bellevue (WA)

On-site

USD 144,000 - 194,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
RSU eligibility

Job summary

Amazon.com Services LLC in Arlington, VA seeks a Software Development Engineer to build edge compute solutions for industrial automation within a fast-paced, startup-like environment. This role involves shaping software across hardware, embedded Linux, and cloud interfaces, delivering end-to-end capabilities for our global fulfillment network.

You will collaborate with AWS-enabled teams and deployment specialists to implement scalable systems that meet Amazon’s growth needs, with hands-on

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 3+ years of design or architecture of large-scale systems.
  • 3+ years of software development engineer or related experience.
  • 3+ years of OO design experience.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
  • Experience programming in at least one software language.

Responsibilities

  • Integrate with a diverse array of internally and externally developed hardware and software services.
  • Implement CI/CD pipelines for automated delivery.
  • Validate solutions via software-in-the-loop simulation.
  • Work closely with deployment teams to implement end-to-end field solutions.

Skills

C++
C#
Java
Object Oriented Design
Distributed systems

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Tools

AWS technologies
CI/CD pipelines

Job description

Amazon.com Services LLC in Arlington, VA seeks a Software Development Engineer to build edge compute solutions for industrial automation within a fast-paced, startup-like environment. This role involves shaping software across hardware, embedded Linux, and cloud interfaces, delivering end-to-end capabilities for our global fulfillment network.

You will collaborate with AWS-enabled teams and deployment specialists to implement scalable systems that meet Amazon’s growth needs, with hands-on

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