Top Engineering Jobs in CO

Own customer-focused system and SSD validation for enterprise and data-center products. Plan qualification and regression cycles, maintain test environments, analyze results, debug system and drive issues, develop automation and test cases, and coordinate with firmware, hardware, and systems teams. The role also mentors engineers, contributes to validation strategy, supports customer qualification programs, and drives root-cause resolution across complex hardware and software environments.

Develop next-generation SSD hardware architectures from concept through production. Define architectures, design power topologies, ensure power integrity, simulate and analyze designs, and improve performance and reliability. Collaborate with firmware, system, and validation teams, participate in design reviews, develop requirements, and mentor hardware engineers. The role requires expertise in circuit design, PCB implementation, high-speed routing, signal and power integrity, and simulation tools.

Leads system-level validation, integration, and joint qualification of enterprise and datacenter NVMe SSDs. Responsibilities include developing validation strategies and test plans, performing system bring-up and debugging across hardware, firmware, drivers, operating systems, and platforms, conducting failure analysis, supporting customer issue reproduction, and improving automated Python-based testing and AI-enabled validation workflows. The role also mentors engineers and coordinates qualification activities across firmware, hardware, manufacturing, product engineering, and customer engineering teams.

Leads firmware verification strategy, test planning, automation, coverage closure, and failure analysis for NVMe enterprise SSD products. Architects Python-based automation frameworks, CI/CD and regression infrastructure, defines validation standards, reviews test code, mentors engineers, and partners with firmware architects to improve testability. The role also applies structured debugging, protocol analysis, AI-enabled workflows, and cross-functional risk management across multiple SSD programs.

As a Principal Engineer, you'll architect and implement security features for storage products, focusing on cryptography and cybersecurity across development lifecycles.

Develop firmware verification plans and test methodologies for enterprise SSDs and NVMe features. Build Python-based automation, reporting, and data-collection tools; analyze regression failures and perform root-cause analysis. Apply machine learning, AI-powered tools, and data-driven methods to improve test efficiency, failure detection, and workflow automation. Collaborate with firmware engineers, test developers, and AI/ML practitioners to improve product quality and reliability.

Lead SSD system design and verification: debug cross-domain firmware/hardware issues, perform performance/power/thermal/reliability characterization, develop test and characterization methodologies, support DFMEA and design reviews, and collaborate with engineering, manufacturing, and customer teams to ensure compliance and product reliability.

As a Principal Systems Performance Engineer, you will develop performance models for Micron SSD and DRAM products, analyze workloads, and provide architectural insights to influence product decisions.

Lead validation strategy and architect scalable test frameworks for enterprise SSD firmware (NVMe front-end features). Drive AI/ML solutions for test optimization, own test infrastructure and CI/CD, perform root-cause analysis, mentor engineers, and influence firmware architecture and compliance across simulation, FPGA, and prototype hardware environments.

Validates enterprise SSD firmware through verification planning, automated Python test development, execution, regression testing, and failure analysis. The role tests NVMe features and customer specifications, investigates root causes, reports quality metrics, and collaborates with firmware, data science, and AI/ML teams. It also applies AI-assisted development, anomaly detection, and intelligent automation to improve test coverage, efficiency, and validation workflows.