/Systems Engineer

Systems Engineer

United Statesusvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
1 month ago

About the Role

Systems EngineerLocation: Austin, TX

Posted On: 05/12/2026

Requirement Code: 73690

Requirement Detail

Summary

· Hardware validation role focused on performance validation of next generation AMD server architecture and AI accelerators.

Education

· Bachelors degree is required for candidates.

Location

· Hybrid onsite (3 days a week minimum) is required.

Day to Day Responsibilities

· Analyzing benchmarks and performance key performance metrics of next generation AMD servers and AI accelerators.

· Research trade-offs for our server architecture, especially as related to the memory hierarchy, storage systems, scheduling, and I/O devices.

· Collect data from benchmark results, data from CPU performance counters, and other related performance information to identify bottlenecks and other performance limitations of the benchmark itself, SoC and system.

· Evaluate system performance by executing industry standard benchmarks.

· Thorough understanding of OS fundamentals and how they impact Performance of a system.

Required Experience

· Experience using Linux performance analysis tools and methods.

· Experience executing industry standard benchmarks or other performance test workloads.

· Test automation experience.

· Highly motivated independent contributor with a strong desire to learn and develop a deep understanding of the technology.

· Understanding of computer system architecture.

· Programming/scripting skills (e.g. C/C++. BASH, Python, etc).

· Experience using AI tools like Claude, Copilot and more.

· Communicates and collaborates well with others.

· Experience with PCIe testing and hardware validation.

Preferred Experience

· Experience with benchmarks such as STREAM, multichase, SPECCPU2017, HPL, DGEMM, GUPS, SPECJbb and others.

· Experience with I/O benchmarks and tools such as Infiniband, iPerf3, FIO and others.

· Experience benchmarking memory technologies such as DDR5, CXL, HBM and others.

· Experience benchmarking AI products and using various LLM benchmarks.

· Competitive analysis as it relates to server architectures and AI workloads.

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