Principal Systems Performance Engineer

1000 Micron Technology, Inc.; Longmont (CO); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Medical, dental and vision plans

Paid time off

Paid holidays

Job summary

Micron Technology, Inc. seeks a Principal Systems Performance Engineer to lead complex performance studies across data center workloads and storage platforms. You will deploy customer-representative AI, database, virtualization, and software-defined storage workloads in production labs.

You will guide SSD architecture and product development, work closely with SSD architects and customers, and mentor engineers while turning findings into actionable recommendations and roadmaps.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with 8 years of experience.
• Hands-on experience deploying and debugging data center applications on Linux systems.
• Deep understanding of system performance and the storage I/O path, including Linux I/O, file systems, block storage, NVMe, and PCIe.
• Experience with performance and system-analysis tools such as perf, eBPF, bpftrace, application profilers, fio, or equivalent tools.
• Proficiency in Python or another language used to automate tests and analyze data.
• Demonstrated ability to lead ambiguous technical work, identify root causes, and make recommendations supported by data.
• Clear written and verbal communication with engineering, customer, and executive audiences.

Responsibilities

• Lead complex performance studies from initial question to final recommendation.
• Direct the hardest investigations and set technical direction for the team.
• Work with SSD architects, product engineers, and customers to translate findings into architecture and roadmaps.
• Build test plans with hypotheses, configurations, controls, and repeatable methods.
• Instrument systems and trace I/O from applications through storage stacks to SSDs.
• Turn results into engineering reports, briefs, reference architectures, and presentations.

Skills

Python

Leadership

Communication

Data analysis

Ambiguity management

Education

Bachelor's degree in CS/CE/EE

Tools

perf

eBPF

bpftrace

fio

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. Micron's Data Center Workload Engineering team tests how memory and storage products perform in complete data center systems. We deploy customer-representative AI, database, virtualization, and software-defined storage workloads in production-class labs. We trace I/O from the application through the system to the SSD to explain performance and identify opportunities to improve it. As a Principal Systems Performance Engineer, you will lead complex performance studies from the initial question through the final recommendation. You will personally lead the hardest investigations while setting technical direction for the team. Your work will guide SSD architecture and product development and help customers get the best performance from Micron products. This is a hands-on senior individual-contributor role.

Key Responsibilities

• Lead application performance studies on enterprise servers, GPU-accelerated systems, and data center storage platforms.
• Deploy customer-representative workloads across one or more areas, such as AI training and inference, checkpointing, KV-cache offload, data preparation, databases, virtualization, and software-defined and object storage.
• Develop test plans with clear hypotheses, realistic configurations, appropriate controls, and repeatable methods.
• Instrument systems and trace I/O from the application through the software and storage stack to the SSD.
• Measure application throughput, completion time, scaling efficiency, tail latency, consistency, and power, then correlate those results with system and device telemetry.
• Isolate bottlenecks across applications, operating systems, drivers, networks, PCIe, NVMe, and storage devices.
• Recommend software, system, or product changes based on the findings.
• Build automation, test harnesses, and analysis tools that improve test coverage, repeatability, and turnaround time.
• Evaluate new SSD features, system architectures, and competing solutions with real applications and customer use cases.
• Turn test results into engineering reports, technical briefs, reference architectures, and presentations for engineering teams, customers, and executives.
• Work directly with SSD architects, product engineers, customer teams, and ecosystem partners to translate findings into architecture, product-roadmap, software, and customer-deployment decisions.
• Set technical direction for performance work, review methods and results, and mentor engineers across the team.

Required Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 8 years of experience.
• Extensive experience leading complex systems performance, application benchmarking, or workload characterization work.
• Hands-on experience deploying and debugging data center applications on Linux systems.
• Deep understanding of system performance and the storage I/O path, including Linux I/O, file systems, block storage, NVMe, and PCIe.
• Experience with performance and system-analysis tools such as perf, eBPF, bpftrace, application profilers, fio, or equivalent tools.
• Proficiency in Python or another language used to automate tests and analyze data.
• Demonstrated ability to lead ambiguous technical work, identify root causes, and make recommendations supported by data.
• Clear written and verbal communication with engineering, customer, and executive audiences.

Preferred Qualifications

• Experience testing AI infrastructure or another production data center workload domain such as databases, virtualization, high-performance computing, or distributed storage.
• Experience with GPU-accelerated systems and AI frameworks.
• Experience with software-defined or object storage platforms such as WEKA, Ceph, Cloudian, or MinIO.
• Experience measuring power, efficiency, quality of service, or storage device behavior under application load.
• A record of technical influence through product decisions, customer outcomes, design reviews, reusable tools, publications, patents, or open-source contributions.

Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future.

Benefits

• 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.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.