As an Analog Verification Engineer at Micron Technology, Inc., you will help shape advanced analog verification methodologies for next-generation DRAM products. In this role, you will develop scalable verification solutions, improve coverage and efficiency, and contribute to high-quality silicon through innovation, automation, and close collaboration with design teams. Experience with reliability verification methodologies is a strong plus, but not a requirement; candidates with solid analog verification expertise and a willingness to grow in reliability-focused verification are encouraged to apply. 

Our team vision is a continuing desire to develop your skills working in an inclusive diverse environment of multicultural Teams across worldwide geographies! Enabling the creative career path, you deserve with a collaborative environment and groundbreaking technology and growing upon your imagination and creativity. 

Responsibilities 

• Define and drive DRAM analog verification strategy, including AI‑enabled methodologies, to improve efficiency, expand coverage, streamline workflows, and systematically close silicon failure gaps.  

• Partner closely with design teams to standardize, align, and continuously improve verification methodologies across projects and memory generations.  

• Develop, maintain, and evolve Python-based analog and reliability verification test benches, tools, and flows to support robust and scalable verification execution.  

• Provide technical leadership in verification methodology by setting priorities, mentoring engineers, and driving innovation for future DRAM technologies.  

• Leverage and apply AI to improve efficiencies and overall impact of work.

Minimum Qualifications 

• Bachelor’s or Master’s degree (preferred) in Electrical Engineering, Computer Engineering, or a related field.  

• 10+ years of relevant experience in design and verification engineering.  

• Hands-on experience with gate-level analog simulation and debug environments (e.g., circuit simulation and waveform analysis).  

• Strong knowledge of VLSI circuit design fundamentals.  

• Advanced proficiency in Python programming, including object‑oriented design and use of advanced libraries.  

• Focused experience and proficiency in work with LLMs and Agentic AI tools

Preferred Qualifications:  

• Strong understanding of DRAM circuit design and system architecture.  

• Knowledge of reliability fundamentals, including common degradation and failure mechanisms (e.g. BTI, HCI, EM, and TDDB) is a plus. 

• Excellent communication and collaboration skills, with the ability to influence across cross‑functional teams.  

• Self‑motivated, proactive team player who thrives in a diverse, collaborative environment.  

• Proven ability to manage multiple priorities with strong organizational and execution skills.  

• Demonstrated experience leading technical projects or initiatives.  

• Strong analytical and problem‑solving capabilities.  

• Passion for driving AI‑enabled process improvements and automation.  

• Expert‑level Python proficiency, with proven ability to design and implement multi‑layered, multithreaded, object‑oriented systems. Familiarity with digital verification methodologies (e.g., SystemVerilog, UVM).