Power and Performance Engineers or PnP Engineers, are responsible for curating test suites, executing the test content, collecting measurements, and analysis of PnP data. Based on your technical knowledge of SSDs and the data center, a PnP engineer’s work aims to identify issues and aid in debugging those issues.
We are seeking an experienced Datacenter SSD Power and Performance Engineer who is self-driven and self-driving to join our team. The ideal candidate will have a strong technical background in SSD technology as well an PCIe protocols, with a focus on optimizing power efficiency and performance for current and future PCIe generations. You will be responsible for development of the next generation data center testing environments, identifying and diagnosing bugs, tuning performance parameters, and collaborating closely with firmware (FW) teams and architecture teams to enhance overall product quality and efficiency. This role is critical to ensuring our SSD solutions meet the demanding and evolving needs of modern data centers and provide superior performance and reliability.
Test Environment Design: Own the development of proof-of-concepts test environments that will validate SSD Performance and Power relative to industry advancements.
Collaboration with Firmware and Architecture Teams: Work closely with FW developers and architecture teams to communicate findings, propose solutions, and validate implemented fixes or enhancements.
Bug Identification and Diagnostics: Conduct detailed analysis to identify bugs affecting SSD power and performance, utilizing debugging tools and methodologies to isolate and resolve issues.
Performance Tuning: Optimize SSD performance by tuning firmware parameters, configuring hardware, and modifying architectural features to improve overall efficiency and achieve specific performance targets.
Testing and Validation: Design, execute, and refine test plans focused on SSD power consumption and performance, leveraging workload simulators and other benchmarking tools to align results with datacenter performance standards.
Scripting for Automation: Use Bash and Python scripting to automate performance testing, data collection, and analysis processes, ensuring efficient and repeatable workflows.
Data Analysis and Reporting: Analyze power and performance metrics, track system behavior, and document results to communicate insights and actionable recommendations to cross-functional teams.
Continuous Improvement: Drive continuous improvements in SSD performance through innovative techniques, including automation, benchmarking, and workload analysis.
Preferred Qualifications:
Working Conditions:
For California, Colorado, New York, Washington, and remote roles: The compensation range for this role is $118,860 - $196,720. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.