Senior Solutions Engineer

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Senior Solution Engineer GPU & AI Infrastructure
Location: UK Fully Remote
Contract: Flexible Contract
Rate: £1,000£1,200 per day
Initial Commitment: 2 days per week
Future Opportunity: Potential to increase to 5 days per week

We are looking for a Senior Solution Engineer GPU & AI Infrastructure to support the design of cutting-edge AI and high-performance computing infrastructure.

This is a senior Solution Architecture / Technical Pre-Sales role focused on NVIDIA GPU infrastructure, AI workloads, HPC environments and high-speed networking.

The engagement will initially be 2 days per week, with the potential to increase to 5 days per week as requirements develop.

Extremely Flexible Working

We can offer a highly flexible working arrangement around your existing commitments.

• Fully remote
• Flexible working hours
• Evening and weekend availability can be accommodated
• Work can be structured around your existing role or commitments
• Initially 2 days per week
• Potential to increase to 5 days per week
• Flexible approach to when the work is completed, provided agreed deliverables and deadlines are met

Key Responsibilities

• Design large-scale NVIDIA GPU clusters for AI and HPC workloads.
• Develop HLDs, LLDs, rack designs and detailed BOMs.
• Design NVLink / NVSwitch architectures.
• Design high-speed InfiniBand and RoCE/RoCEv2 networking.
• Develop infrastructure solutions using NVIDIA Blackwell, B300, GB300 and GB200 platforms.
• Design both bare-metal and Kubernetes-based GPU environments.
• Work with Slurm, Kubernetes, NVIDIA GPU Operator, NCCL and GPUDirect.
• Design high-performance storage solutions for AI workloads.
• Lead technical discussions with CTOs, AI leaders and infrastructure teams.
• Support RFPs, RFIs, technical proposals and customer presentations.
• Lead technical workshops and Proof of Concept deployments.
• Support GPU cluster benchmarking and performance optimisation.

Requirements

• 5+ years in Solution Architecture, Systems Engineering, Technical Pre-Sales, HPC or AI infrastructure. xwwtmva
• Strong hands-on knowledge of NVIDIA GPU infrastructure.
• Experience with HG
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