Senior Data Center Performance Engineer - Benchmarking and Optimization

We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads.

- Design and execute comprehensive performance benchmarking strategies for our data center platforms and products

- Characterize real-world AI training, inference, and HPC workloads at scale

- Define, track, and report key performance indicators (throughput, latency, efficiency, scaling)

- Build automation tools and frameworks for performance monitoring and analysis

- Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems

- Work closely with architecture, hardware, software, networking, storage and customer teams to resolve performance issues

- Drive performance improvements through system tuning, configuration optimization, and architectural recommendations for future generation systems

- M.S. or Ph.D. in Computer Science, Electrical Engineering or related field (or equivalent experience).

- 8+ years of experience in performance engineering or system architecture

- Deep understanding of computer architecture, hardware-software interaction and computing at-scale

- Strong proficiency in performance profiling tools (Linux perf, NVIDIA Nsight Systems)

- Familiarity with GPU computing and parallel programming (CUDA)

- Background with HPC networking technologies (InfiniBand, RoCE, NVLink)

- Programming skills in Python, C++, and shell scripting. Excellent analytical and problem-solving abilities

- Ability to communicate effectively and work with cross-functional global teams

- Experience with AI/ML frameworks (PyTorch, TensorFlow, JAX). Knowledge of MPI, collective communications (NCCL), distributed training and inference. Familiarity with NVIDIA DGX, HGX platforms and other data center solutions

- Familiar with containers, cloud provisioning and scheduling tools (Docker, Kubernetes, SLURM). Understanding of storage systems and I/O performance

- Track record of performance optimization in production environment. Experience with AI code generation tools

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

Applications for this job will be accepted at least until August 8, 2026.