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# Engineer-II, Firmware Test Engg

- **Company:** Micron Technology, Inc.
- **Location:** Longmont, CO, United States
- **Salary:** $81,000.0 - $137,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Computer Engineering, Continuous Integration, Linux, Programming Tools, Firmware, Flash Memory, Python (Programming Language), Machine Learning, NumPy, PCI Express, Tensorflow, Strategies of Testing, Rust (Programming Language), Pytorch, Git, Pandas, Scikit Learn, Storage Technologies, Information Technology, Tools for Reporting, Nvme
- **Published:** August 21, 2026
- **Apply:** https://dejobs.org/x/x/175EFB0ED38E4A2DAD8BF7708BAAE291/job/

## About the Role

* Bachelor's degree and 3-5 years of experience, or Master's degree and 1-3 years of experience, in Computer Science, Data Science, Electrical Engineering, Computer Engineering, or a related field
 * Strong Python programming skills, including experience with NumPy, pandas, scikit-learn, and test automation development
 * Experience with test methodologies, automation concepts, and validation strategy execution
 * Familiarity with machine learning concepts and applying existing models or libraries to testing challenges
 * Proficiency with AI-enabled development tools and strong communication skills in multi-functional environments

Preferred Qualifications:

 * Experience with machine learning frameworks such as TensorFlow or PyTorch
 * Experience implementing automation solutions in testing or validation environments
 * Understanding of embedded systems, firmware development, and storage technologies
 * Familiarity with NVMe, PCIe, NAND flash memory, or SSD architectures
 * Experience with C or Rust, Linux and Windows environments, and Git-based development workflows

## Description

* Implement firmware verification strategies for customer requirements and NVMe protocol features, including SMART, Trim, Get Log Page, and OCP functionality
 * Investigate regression and field failures, perform root-cause analysis, and document findings
 * Enhance test infrastructure, automation frameworks, CI/CD workflows, and reporting tools while collaborating with multi-functional teams
 * Leverage AI-assisted tools and copilots to improve test optimization, failure triage, anomaly detection, and engineering productivity


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