Amazon
System Development Engineer, Battery Test Systems, Amazon Leo
$129K–$175K
Redmond, WA · Full-time · Posted Oct 12, 2026
- Education
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience.
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Owns the lab computing, networking, and data infrastructure that moves battery test data into reliable, usable insights, including AI-powered features.
What you'll do
- Administer, patch, and secure networked lab and test PCs running Windows and Linux.
- Build and operate automated, observable data pipelines; normalize tester data and improve data quality, metadata, dashboards, and monitoring.
- Deploy AI and machine-learning models and build tools that help engineers access and use test data; specify requirements for new test systems.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience.
- Experience in systems administration (Linux/Windows).
- Experience with automation or scripting languages such as Python, Java, Perl, PHP, Ruby, Bash, or Shell, or equivalent.
- Experience building and maintaining data flows and pipelines, and troubleshooting and debugging technical systems.
Nice to have
- Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS; Grafana or other monitoring, BI, and visualization tools.
- Experience deploying AI or machine-learning models in production, administering networked PCs in a lab or industrial setting, or working with manufacturing test equipment and tester data.
Pay
129,200.00 - 174,800.00 USD annually (base salary)
Tools
Windows, Linux, Python, Java, Perl, PHP, Ruby, AWS S3
AI focus
Deploy and operate AI and machine-learning models on databases to produce predictions, summaries, data-quality checks, and natural-language querying and visualization.
Model-written summary · the original posting is authoritative