Senior Solutions Engineer

L.J.B & Co. Construction Recruitment

London, UK

18 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

£260,000.0 - £312,000.0

Working hours

Shift work

Job source

find.jobs

Tech stack

Artificial Intelligence Systems Engineering Computer Clusters Data Centers InfiniBand Performance Tuning AI Infrastructure High Performance Computing Kubernetes Bare Metal Slurm Hardware Infrastructure

Job description

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.
Strong hands-on knowledge of NVIDIA GPU infrastructure.
Experience with HGX / DGX / Blackwell / B300 / GB300 / GB200.
Strong knowledge of NVLink / NVSwitch.
Expert knowledge of InfiniBand and/or RoCE/RoCEv2.
Experience with GPU clusters, HPC or AI infrastructure.
Knowledge of Kubernetes and/or Slurm.
Experience producing HLDs, LLDs, architecture diagrams and BOMs.
Strong customer-facing and technical presentation skills.
Understanding of high-density data centre power and cooling requirements.