Amazon

Senior Systems Engineer Edge AI, Hardware Compute Group

Posted On

Nov. 30, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Systems, Quality, & Security Engineering

Apply By

Dec. 16, 2025

Job Description

Join our Edge AI team within the Hardware Compute Group at Amazon! As a Senior Systems Engineer, you will play a key role in driving the development and deployment of AI models and infrastructure for our Alexa, Echo, and other edge computing products.

You will navigate complex distributed codebases, build and maintain robust CI/CD pipelines, and develop innovative infrastructure automation using Python, Bash, and AWS services. Collaborate cross-functionally to define system architectures, investigate technical feasibility tradeoffs, and drive key components from design to completion.

This is an opportunity to work on impactful projects that will enable advanced on-device AI capabilities for our customers. If you're passionate about building scalable, reliable, and performant software solutions, we'd love to hear from you!

Key job responsibilities
* Navigate and contribute to distributed package codebases across multiple repositories
* Build and maintain CI/CD pipelines leveraging AWS services
* Develop infrastructure automation using Python and Bash
* Create and maintain dashboards for test reporting and metrics visualization
* Integrate testing frameworks with build and release systems
* Take full ownership of assigned components and drive them to completion
* Independently investigate and resolve complex technical issues with minimal guidance
* Analyze test results and provide actionable feedback to stakeholders
* Develop and maintain test automation infrastructure using pytest
* Design, implement, and execute automated test suites including hardware-in-the-loop tests
* Work with cross-functional teams to identify testing requirements and gaps- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
- Experience defining system architectures and exploring technical feasibility tradeoffs
- Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS

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