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.

Preferable:

• NVIDIA GPU ecosystem and tools such as DCGM, Nsight or MLPerf.
• Experience with large-scale GPU/CPU/DPU clusters & emerging/pre-production hardware.