Senior Solutions Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+3 more
Job description
This is a senior technical position where you’ll be responsible for taking complex customer requirements and turning them into practical, scalable infrastructure solutions.
You’ll be working on some seriously advanced environments, designing large-scale NVIDIA GPU platforms, high-speed networking, storage and cloud infrastructure for AI and machine-learning workloads.
The role would suit someone who enjoys being both hands-on technically and customer-facing, rather than someone who wants to sit purely on the engineering side.
What You’ll Be Doing
- Designing large-scale GPU and AI infrastructure for enterprise customers.
- Developing technical architecture, system designs and infrastructure proposals.
- Creating detailed HLDs, LLDs and Bills of Materials.
- Designing GPU cluster architectures around NVIDIA platforms.
- Working with NVLink, NVSwitch, InfiniBand and RoCE.
- Designing high-performance networking and storage environments.
- Supporting both bare-metal and Kubernetes-based deployments.
- Working with technologies such as Slurm, Kubernetes, NVIDIA GPU Operator and NCCL.
- Supporting technical sales opportunities and major customer engagements.
- Running technical workshops with senior customer stakeholders.
- Supporting RFP/RFI responses and complex technical proposals.
- Helping design and validate Proof-of-Concept environments.
- Troubleshooting performance across GPU, networking and storage infrastructure.
- Working closely with engineering teams, customers and technology partners., * Kubernetes
- Slurm
- NVIDIA GPU Operator
- NCCL
- RDMA / GPUDirect
- High-performance storage
- GPU cluster networking
- HLD / LLD production
- Technical pre-sales and customer-facing architecture
Why This Role?
This is an opportunity to work at the cutting edge of AI infrastructure, rather than traditional cloud or data centre projects.
You’ll be working on high-performance GPU environments supporting AI, machine learning and HPC workloads, with exposure to some of the latest NVIDIA technologies and large-scale infrastructure deployments.
Requirements
We’re looking for a Senior Solutions Engineer with a strong background in GPU, AI or HPC infrastructure to join an exciting and rapidly growing technology business., You’ll ideally have 5+ years’ experience within one or more of the following:
- Solution Architecture
- Technical Pre-Sales
- Systems Engineering
- HPC
- AI / Machine Learning Infrastructure
- GPU Infrastructure
- Data Centre Infrastructure
You should have strong practical knowledge of NVIDIA GPU environments and understand how large GPU clusters are designed, connected and deployed.
Experience with Blackwell, HGX, DGX, NVLink/NVSwitch, InfiniBand or RoCE would be highly advantageous.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
The Fastest-Growing Tech Sectors to Look Out for in 2025
Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence
Best Companies to work for in London: Top 25 Companies in 2023
How to Become an AI Engineer