The Cisco UCS Compute BU is looking to optimize and benchmark the performance of UCS products including AI servers and X-series & C-series servers, with a focus on compute & AI performance on UCS, specifically AI server performance, liquid cooling platform testing and industry standard AI benchmarking.
Requirements
- Experience with performance testing or performance evaluations related to hardware and networking products such as servers, operating systems, AI platforms, etc. while using various profiling and benchmarking tools, including but not limited to analyzing computational efficiency, latency, throughput, and resource utilization.
- 2+ years of experience working with server hardware, including server bring-ups, OS installations, GPUs, AI Server technologies or other data center networking technologies.
- Minimum 1 year experience working with AI technologies, ideally some experience configuring and supporting AI servers or accelerators (GPUs, TPUs) in a networked hardware environment, or completion of at least one project involving AI workload deployment and integration.
- Understanding of Liquid cooling technologies such as Direct to chip, Immersion cooling or other cooling technologies.
- Understanding of high-performance computing AI workloads, and other AI infrastructure components.
- Familiarity with deep learning frameworks (TensorFlow, PyTorch, etc.) and performance optimization.
- Machine Learning/AI Knowledge: Understanding of machine learning models, neural networks, and deep learning architectures.
Responsibilities
- Conduct performance tests on UCS AI platforms.
- Use industry-standard benchmarking tools (e.g., MLPerf, GenAI perf) to evaluate system performance.
- In-depth analysis and evaluation of AI Servers with Liquid cooling technologies.
- Provide technical guidance to improve UCS performance specific to liquid cooling environments.
- Build performance benchmarks, analyze results, and develop technical marketing materials (white papers, standard process guides, presentations).
- Solve Cisco UCS AI server related performance issues.
- Collaborate with engineering, product management, and sales teams to ensure industry-leading UCS performance on AI servers.
Other
- Bachelor’s or master’s degree with 7+ years’ experience in Hardware Engineering, Performance Engineering or similar engineering roles.
- Must be a self-starter and a teammate.
- Ability to set and meet timelines.
- Strong communication skills, with the ability to convey technical information between customers and engineering teams.
- Collaborate with hardware and software teams to optimize system configurations for AI platform performance.
