AI Technical Support Engineer

Pivotal Partners; Bristol; On-site; GBP 120,000 - 150,000; Full time

Job summary

A fast-scaling technology firm in the UK seeks an AI Technical Support Engineer to assist customers with complex AI workloads in production. The role involves troubleshooting GPU performance and working closely with engineering teams. Candidates should have experience in AI environments, strong knowledge of NVIDIA GPUs, and Kubernetes experience. The salary ranges from £120,000 to £150,000 plus benefits.

Qualifications

• Experience supporting AI, HPC, or GPU-accelerated environments.
• Strong knowledge of NVIDIA GPUs.
• Understanding of GPU interconnects and networking in multi-GPU setups.
• Kubernetes experience in production environments.
• Comfortable in a customer-facing technical role.

Responsibilities

• Support customers running complex AI workloads.
• Act as a technical expert across AI infrastructure.
• Troubleshoot issues related to GPU performance.

Skills

Supporting AI environments

Knowledge of NVIDIA GPUs

Understanding of GPU interconnects

Kubernetes experience

Customer-facing technical role

Job description

We’re partnering with a high-growth cloud-native software company that has recently raised a $200M Series C and is expanding its AI-focused platform. This is an opportunity to join a well-funded, fast-scaling organisation building technology at the core of modern AI infrastructure.

Our client develops an enterprise platform that simplifies how organisations deploy, manage, and operate AI / ML workloads across Kubernetes environments. The product is designed for performance-critical AI use cases, enabling customers to run GPU-accelerated workloads at scale with reliability and efficiency.

About the Role

The AI Technical Support Engineer will support customers running complex AI workloads in production. You’ll act as a technical expert across AI infrastructure, working closely with customers and internal engineering teams to troubleshoot issues related to GPU performance, networking, and distributed systems.

Key focus areas

• AI infrastructure on Kubernetes
• NVIDIA GPUs and GPU scheduling
• GPU interconnects and high-performance networking
• Understanding why high-bandwidth, low-latency interconnects (e.g. InfiniBand) are critical for scalable AI workloads

Requirements

• Experience supporting AI, HPC, or GPU-accelerated environments
• Strong knowledge of NVIDIA GPUs
• Understanding of GPU interconnects and networking in multi-GPU or multi-node setups
• Kubernetes experience in production environments
• Comfortable working in a customer-facing technical role

Salary

£120,000 – £150,000 base salary + benefits