Lead HPC Systems & Performance Engineer

Lead HPC Systems & Performance Engineer (Dallas, Texas): The Company: My client is a rapidly growing HPC and AI Supercompute Lab operating at the forefront of hyperscale compute. With significant investment behind its growth, the business is building next-generation infrastructure supporting demanding AI, scientific research, simulation, and data-intensive workloads. The Role: They are looking for a Lead HPC Systems & Performance Engineer to take ownership of compute performance across large-scale HPC environments. You'll evaluate emerging CPU, GPU and accelerator technologies , benchmark new hardware, identify performance bottlenecks, and turn real-world test data into architecture decisions. Working across the compute stack, you'll collaborate with storage and networking specialists, hardware vendors, internal engineering teams and customers to build and optimise end-to-end HPC platforms. Required Skills: Masters &/or PhD in Computer Science, Systems Engineering, or similar subject(s). Strong background in HPC systems, performance engineering or systems architecture . Deep understanding of CPU, GPU and accelerator architectures . Strong knowledge of memory hierarchy, NUMA and system performance . Hands-on experience with Linux tuning, optimisation and performance profiling . Experience designing or optimising HPC clusters and parallel computing environments . Understanding of InfiniBand/RoCE and their impact on compute performance. Experience benchmarking and evaluating new hardware. Knowledge of distributed/parallel storage and its relationship with compute performance. Experience supporting demanding AI/ML, scientific computing or simulation workloads . NVIDIA GPU ecosystem and tools such as DCGM, Nsight or MLPerf . Experience with large-scale GPU/CPU/DPU clusters & emerging/pre-production hardware. #J-18808-Ljbffr Stanford Black Limited