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Acceler8 Talent is seeking a Senior Systems Engineer to own the design, integration, validation and deployment of GPU/HPC infrastructure. You will work hands-on across GPU workstations, servers, storage, networking and clusters to deliver complete systems for AI and scientific workloads.
The ideal candidate has strong experience with NVIDIA or AMD GPU compute systems, Linux, Slurm or Bright Cluster Manager, and the ability to benchmark and troubleshoot end-to-end.
Senior Systems Engineer–GPU / HPC Infrastructure– Fremont, CA (Onsite)
I'm currently hiring for an established AI infrastructure and GPU computing company that designs and delivers complete high-performance computing systems for AI, machine learning, scientific computing and research workloads. Rather than simply reselling hardware, they take a customer's requirements and turn them into fully integrated GPU workstations, servers, storage, networking and clusters.
The company has been operating for more than three decades and works extensively across NVIDIA and AMD GPU platforms, including the latest Blackwell systems. They're now looking for a Senior Systems Engineer who can take ownership across solution design, integration, validation, benchmarking, deployment and troubleshooting. This is a hands-on role working across the full infrastructure stack, from individual GPU workstations through to multi-server and rack-scale HPC environments.