Senior Systems Performance Engineer

Description

The company makes memory and storage products that speed up the handling of data in AI, database, and cloud workloads.

The Data Center Workload Engineering team is looking for a Senior Systems Performance Engineer to find and raise the performance of memory and storage products inside data center systems.

You will work as a hands-on individual contributor, partnering with SSD architects, product engineers, and customer teams to understand performance limits and deliver working improvements.

Responsibilities

• Design experiments around a stated hypothesis, using believable setups and proper controls.
• Run repeatable studies of AI, database, virtualization, or distributed-storage workloads on production-class systems.
• Follow application I/O down to the SSD and measure efficiency, completion time, scaling, tail latency, consistency, and power.
• Find bottlenecks and evaluate SSD features, system designs, and rival products, then recommend improvements backed by data.
• Build test automation and analysis tools, including AI-assisted workflows.
• Report findings through engineering reports, presentations, and customer-facing technical material.

Requirements

• Hold a bachelor's degree in computer science, computer engineering, electrical engineering, or a closely related field and have more than 3 years of experience, or hold a master's degree and have over 1 year of experience.
• Have experience in systems performance, application benchmarking, or workload characterization.
• Have hands-on experience deploying and debugging applications on Linux.
• Understand the storage I/O path, including Linux I/O, file systems, block storage, NVMe, and PCIe.
• Be proficient with performance-analysis tools and with Python or a similar language for investigating problems, automating tests, and explaining results.
• Preferred: experience testing AI infrastructure, databases, virtualization, high-performance computing, or distributed storage.
• Preferred: knowledge of GPU-accelerated systems or AI frameworks.
• Preferred: familiarity with software-defined or object storage such as WEKA, Ceph, Cloudian, or MinIO.
• Preferred: experience measuring power, efficiency, quality of service, or SSD behavior under application load.
• Preferred: a record of building reusable analysis tools or presenting technical findings to wider audiences.
• Preferred: working knowledge of AI-enabled productivity, automation, and analytics tools, such as Microsoft Copilot, Claude CoWork, GitHub Copilot, Power Automate, etc.

Conditions

This is a full-time position with a US base salary range of $116,000.00 - $198,000.00 per year.

The range reflects the minimum and maximum target base pay for new hires across all US locations, and the base salary excludes bonus, equity, and benefits.

Individual pay depends on work location, knowledge, skills, experience, tenure, and relevant education or training, and the pay scale may change with business needs.

Your recruiter can share the range for your preferred location during the hiring process.

Additional compensation may include benefits, bonuses, and equity.

Information about your right to work is available from the employer.

The company prohibits child labor, follows applicable labor laws and standards, and does not charge candidates any recruitment fees.

Benefits

• A choice of medical, dental, and vision plans in all locations, so you can pick the coverage that fits your family and budget.
• Income protection if you cannot work due to illness or injury.
• Paid family leave.
• A generous paid time-off program and paid holidays.
• The full benefits guide is available from the company's careers site.