SR, Engineer - AMS Verification

About the job

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Roles and Responsibilities ·         Plan and execute verification of analog and mixed-signal circuits at block, subsystem, and full-chip levels. ·         Develop and maintain full-chip mixed-signal simulation environments in which analog circuitry, digital logic, and firmware coexist. ·         Create schematic and behavioral models for selected blocks to make full-chip simulations feasible, efficient, and sufficiently accurate for the intended verification objective. ·         Develop verification plans from design data sheets, new feature requests, requirements, interface definitions, and identified risk areas. ·         Run static and dynamic simulations to identify leakage paths, power-sequencing issues, and unintended circuit interactions. ·         Perform device-level electrical rule checks, including SOA, snapback, SFB, and related reliability checks. ·         Perform SPF extraction analysis and fanout, connectivity, and coupling checks. ·         Execute power-cycling simulations, including power-loss and brownout events. ·         Run chip-level user-mode simulations that correlate analog subsystems, logic behavior, and firmware algorithms. ·         Debug complex AMS failures with a system-level outlook, identify root causes, and work with design, firmware, and verification partners to drive closure. ·         Develop scripts and reusable automation for regression setup, simulation execution, log processing, waveform analysis, result comparison, and report generation. ·         Develop AI-assisted engineering flows and agent-based tools that automate or accelerate repetitive AMS verification activities. ·         Prototype engineering agents for use cases such as requirement-to-test extraction, verification-plan assistance, regression triage, log summarization, failure clustering, waveform-analysis guidance, coverage-gap identification, and technical report generation. ·         Integrate approved engineering data, scripts, simulation results, and documentation into reusable AI workflows with clear validation checks and human review. ·         Define success criteria, evaluate the accuracy and usefulness of AI-generated outputs, document limitations, and ensure that final verification decisions remain grounded in simulations, specifications, and engineering judgment. ·         Collaborate with Product Engineering, Test, Probe, Process Integration, Assembly, and other partner teams to improve product quality, root-cause analysis, reliability, cost, and time-to-market.

Minimum Qualifications ·         Bachelor’s degree in Electrical Engineering, Electronics Engineering, or a related discipline with 3+ years of relevant experience, or a Master’s degree in Engineering with relevant experience. ·         Understanding of MOS device physics, including important second-order effects. ·         Working knowledge of analog and mixed-signal circuits such as current mirrors, bandgap references, operational amplifiers, regulators, ADCs, DACs, and charge pumps. ·         Hands-on experience with AMS verification, including testbench development, simulation setup, regression execution, waveform analysis, and debug. ·         Familiarity with Virtuoso, HSPICE, XA or FastSPICE-class simulators, and co-simulation environments. ·         Familiarity with hardware description languages such as Verilog/SystemVerilog and Verilog-A/Verilog-AMS. ·         Working knowledge of Linux/UNIX and scripting using Python, Perl, shell, or an equivalent language. ·         Exposure to AI development concepts or workflows, such as large language models, prompt-based automation, retrieval-augmented generation, AI-assisted coding, or agent-based systems. ·         Ability to use AI-assisted development responsibly, validate generated outputs, and convert a verification pain point into a practical automation prototype. ·         Strong debugging mindset, ability to understand complex workflows, and a consistent drive to innovate and improve verification efficiency. ·         Good communication, collaboration, and documentation skills. Preferred Qualifications ·         Deep knowledge of NAND memory architecture and periphery circuits. ·         Experience with analog and digital simulators such as HSPICE, FastSPICE, XA, and Verilog-based simulation flows. ·         Experience building or maintaining chip-level analog and mixed-signal co-simulation environments. ·         Familiarity with Cadence design environments and LVS/DRC tools. ·         Proficiency in Python and experience working with APIs, structured data, version control, and maintainable software-development practices. ·         Experience prototyping an AI agent or multi-step AI workflow using requirements, data sheets, simulation logs, waveform-derived data, verification results, or engineering documentation. ·         Familiarity with tool-calling, retrieval, evaluation methods, guardrails, and human-in-the-loop review for reliable engineering AI applications. ·         Experience measuring the benefit of an automation or AI flow using indicators such as reduced manual effort, faster debug, improved traceability, or better verification completeness. ·         Ability to collaborate across AMS design, circuit verification, firmware, CAD, data engineering, and software teams.

About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life   for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

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