C++ Engineer – GPU Acceleration

Role Overview

• Developing Algorithms in CUDA
• Host – Device system management (memory management, data transfers, multi-GPU support)
• Deployment of ML models using TensorRT within a C++ application
• Profiling GPU applications with Nsight Systems/Compute
• Configuration of GPU hardware to maximise performance
• Make recommendations for suitable GPU hardware
• Communicate the opportunities and challenges of GPU solutions to non-technical colleagues

Requirements

• Good general C++ software optimization skills
• Excellent CUDA knowledge
• Confidence using CUDA libraries
• Knowledge of networking
• Knowledge of streaming
• Knowledge of video compression

Benefits

· Competitive salary · 10% Company Pension · 25 days Annual Leave + Bank Holidays · Life Cover · Private Medical with Optical / Dental Insurance · Permanent Health Insurance · Cycle to work scheme. · Free On-site Parking