Server Power & Performance Optimization Engineer
Advanced Micro Devices View all jobs
- Shenzhen, Guangdong
- Permanent
- Full-time
- Study and apply BIOS and OS level power management features to analyze and resolve power efficiency and performance issues on AMD EPYC™ server platforms.
- Debug and optimize I/O bandwidth and latency in PCIe-rich server systems with complex topologies, spanning storage, networking, and accelerator subsystems.
- Drive core performance optimization in cloud and datacenter service environments, addressing CPU utilization, scheduling, scalability, and workload efficiency.
- Work closely with customers to diagnose system and application-level performance issues, translate findings into actionable guidance, and deliver measurable efficiency improvements.
- Enable customers through technical workshops, training sessions, and ongoing engineering engagements, accelerating adoption of best practices and AMD platform capabilities.
- Collaborate cross-functionally with internal teams to reproduce issues, perform root-cause analysis, and influence platform features, optimizations, and future product direction.
- Solid understanding of server architecture, including CPU, memory, PCIe, storage, and networking subsystems.
- Hands-on experience with server efficiency benchmarks, such as BenchSEE, SPECpower, SPECsert, or equivalent industry-standard tools.
- Practical experience analyzing and optimizing system- and application-level performance in datacenter or cloud environments.
- Experience debugging performance bottlenecks across BIOS, OS, and system configuration layers.
- Strong English written and verbal communication skills, with the ability to clearly explain technical findings to customers and cross-functional teams.
- Self-motivated and able to independently drive complex technical investigations to closure in a fast-paced, customer-facing environment.
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science.
- 6+ years of experience in server platform performance and power optimization, preferably in datacenter or enterprise server environments.