Engineer New Grad - Edge Systems Architecture

Micron Technology, Inc.; Boise (ID); On-site; USD 65,000 - 90,000; Full time

Job summary

Micron Technology, Inc. in Boise is seeking a technically skilled engineer to gain exposure to memory/storage system architectures for mobile and client platforms.

You will support result analysis, documentation, and multi-functional collaboration across time zones to translate requirements into workload engineering work. The role involves AI workloads characterization, benchmarking, and system-level analysis across compute, memory, and storage to evaluate performance and power trade-offs.

Qualifications

• Minimum: Bachelor's or Master's degree or equivalent experience in a technical field.
• Foundational understanding of computer architecture, memory hierarchy, OS concepts and system efficiency.
• Exposure to performance benchmarking, workload profiling, data collection and analysis; programming/scripting in Python or C/C++.
• Understanding of AI/ML fundamentals and AI workloads; ability to learn new architectures and analyze technical data.
• Ability to work with multi-functional, global teams and coordinate across time zones.

Responsibilities

• Gained exposure to Memory and Storage system architecture for Mobile and Client platforms.
• Support engineering reporting and technical insight generation through result analysis and documentation.
• Engage with multi-functional and global collaborators and translate requirements into workload engineering work.
• Support global collaboration across time zones and represent MCBU workload engineering in discussions.
• Work on Mobile/Client AI workloads and LP5X/LP6 Memory workload characterization, including data gathering and performance analysis.
• Contribute to benchmarking and system-level analysis across compute, memory, and storage to evaluate trade-offs.
• Work with AI tooling, automation, datasets, and execution infrastructure to support workload processing and reporting.

Skills

Computer architecture

Memory hierarchy

Operating systems concepts

CPU/GPU/NPU/SoC basics

Performance benchmarking

Workload profiling

Data analysis

Python

C/C++

Automation & engineering data analysis

AI/ML fundamentals

Cross-functional collaboration

Education

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical subject

Tools

Python

C/C++

Job description

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.

Responsibilities

• Gain exposure to Memory and Storage system architecture for Mobile and Client platforms, understanding how workload and architectural choices influence performance, power, and system efficiency.
• Support engineering reporting and technical insight generation through result analysis, validation, documentation, and consistent, traceable workload data.
• Engage with multi-functional and global collaborators, participate in technical discussions, and help translate requirements and ideas into MCBU workload engineering work.
• Support global collaboration across time zones and dynamically represent MCBU workload engineering in collaborator discussions.
• Work on Mobile/Client AI workloads and LP5X/LP6 Memory workload characterization, including workload execution, monitoring, gathering data, performance analysis, and comparison of results.
• Chip in to benchmarking and system-level analysis across compute, Memory, and Storage to evaluate performance, power, and architectural trade-offs.
• Work with AI tooling, automation, workload datasets, and execution infrastructure to support workload processing, analysis, reporting, and engineering efficiency.

Minimum Qualifications

• Bachelor's degree or Master's degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related technical subject area.
• Foundational understanding of computer architecture, memory hierarchy, operating systems, and concepts related to overall system efficiency through coursework, projects, internships, or research; understanding or academic exposure to CPU, GPU, NPU/AI accelerators, SoCs, DRAM, NAND, DDR/LPDDR, Memory, and Storage systems.
• Exposure to performance benchmarking, workload profiling, data collection, and analysis acquired by engaging in university classes, practical work, internship experiences, or research efforts; programming or scripting experience with Python, C/C++, or similar languages, with an interest in automation and engineering data analysis.
• Understanding of AI/ML fundamentals, AI workloads, generative AI, and AI-assisted engineering tools and their application to workload and system analysis; strong analytical and problem-solving fundamentals, with the ability to learn new architectures, tools, and workload methodologies; ability to analyze technical data, document observations, and clearly communicate findings through reports, presentations, and technical discussions.
• Ability to work effectively with multi-functional and global engineering teams while dynamically taking ownership as domain knowledge develops. Facilitate coordination across different time zones, which may include meetings outside Boise working hours.

Preferred Qualifications

• Academic, project, internship, or research exposure to Mobile, Client, AI, Memory, Storage, or system performance engineering.
• Familiarity with DRAM, NAND, DDR/LPDDR5/5X, PCIe, or NVMe concepts; hands-on exposure to benchmarking, profiling, workload characterization, or performance data analysis.
• Exposure to AI/ML workloads, CPU/GPU/NPU computing, generative AI, or AI-assisted engineering tools.
• Academic or internship experience with Python/C/C++, scripting, automation, data processing, or visualization; exposure to hardware platforms, embedded systems, SoC development, simulation, or validation environments.
• Interest in developing deeper expertise in Memory/Storage architecture, workload engineering, AI workloads, and system-level performance analysis.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.