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Micron Technology

Makes memory and storage chips for AI and PCs

Principal Engineer - EDG SSD Hardware

Board & Electronics Design +1Posted on Nov 11
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Exposure to Automotive Safety Integrity Level (ASIL) standards.
  • Ability to translate customer and system-level automotive requirements into hardware design and validation specifications.
  • Ability to design for extended automotive operating temperatures, typically including −40°C to +85°C or +105°C, depending on product and application requirements.
  • Knowledge of automotive reliability expectations, including temperature cycling and thermal shock, high-temperature operating life, mechanical shock and vibration, humidity and moisture resistance, board-level solder-joint reliability, and power cycling and extended mission-profile operation.
  • Ability to support component qualification and product-level assessments aligned with applicable AEC-Q100, AEC-Q104, and AEC-Q200 expectations.
  • Knowledge of design margins and derating guidelines for voltage, current, temperature, and component lifetime.
  • Ability to address automotive power-transient, brownout, reset, power-loss protection, and startup/shutdown sequencing requirements.
  • Ability to evaluate system-level electromagnetic compatibility and electrostatic discharge risks and support compliance testing against applicable automotive customer and regional requirements.
  • Knowledge of long product lifecycles, component traceability, controlled bills of materials, product change notification management, and obsolescence planning.
  • Ability to collaborate with systems, firmware, and functional-safety teams to support product development aligned with ISO 26262.
  • Ability to contribute to hardware safety analysis, including Hardware Failure Mode and Effects Analysis, failure modes, effects, and diagnostic analysis inputs, diagnostic coverage assessment, single-point and latent-fault evaluation, and safety mechanism definition and validation.
  • Ability to own signal-integrity and power-integrity analysis for high-speed interfaces, NAND channels, clocks, and critical power rails.
  • Ability to correlate pre-layout and post-layout simulations with laboratory measurements.
  • Knowledge of PCB stack-up, impedance control, return paths, via structures, power distribution, and decoupling.
  • Ability to partner with mechanical and thermal teams to evaluate heat spreading, thermal-interface materials, airflow, enclosure constraints, and junction-temperature margins.
  • Demonstrated exposure to AI-assisted engineering tools and workflows, with a mindset toward adopting AI to improve engineering productivity and quality.
  • Ability to use Microsoft Copilot, Claude/Claude Code, or equivalent AI platforms for engineering analysis, documentation, scripting, automation, and technical problem-solving.
  • Ability to identify and implement opportunities to apply AI and automation across the hardware development lifecycle, including design reviews, PCB and design-for-manufacturing checks, validation, data analysis, debug, and reporting.

Responsibilities

  • Lead end-to-end SSD hardware architecture, design, validation, and productization.
  • Own schematic design, component selection, PCB stack-up, placement, routing, and design reviews.
  • Define hardware requirements covering performance, power, thermal characteristics, reliability, form factor, and manufacturability.
  • Drive high-speed interface design and validation for PCI Express, Non-Volatile Memory Express, Open NAND Flash Interface, NAND, and other relevant interfaces.
  • Lead integration of controllers, NAND, DRAM, power-management integrated circuits, clocks, power delivery, and peripheral devices.
  • Develop hardware solutions for standard form factors, including M.2 and BGA, as well as customer-specific automotive and embedded form factors.
  • Champion an AI-first engineering mindset across SSD hardware design, validation, debug, and product execution.
  • Apply AI-assisted engineering tools to accelerate schematic reviews, component and bill-of-materials analysis, design-rule and design-for-manufacturing checks, requirements analysis, technical documentation, and engineering data analysis.
  • Develop and deploy Python-based automation and AI-assisted workflows for repetitive hardware engineering tasks, including test-data processing, log analysis, validation reporting, failure triage, and design checks.
  • Use generative AI and agentic workflows to capture engineering knowledge, lessons learned, design guidelines, failure history, and reusable debug methodologies.
  • Champion an AI-first and automation-first engineering culture by developing reusable workflows and sharing best practices across the team.

Desired Qualifications

  • Familiarity with Automotive SPICE development and traceability expectations.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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