Software Engineer C

Software Engineer C++ – GPU Acceleration

Overview

We are seeking a skilled C++ Engineer with strong GPU acceleration expertise to work on cutting-edge, high-performance systems used across entertainment, engineering, and scientific applications. This role focuses on maximising GPU-based processing performance, including real-time data handling, image processing, and machine learning workloads.

You will join a collaborative software engineering team and work closely with machine learning and research specialists in an environment that values technical excellence, innovation, and a healthy work–life balance.

Key Responsibilities

• Design and implement high-performance algorithms using CUDA
• Manage host–device interactions, including memory management, data transfer optimisation, and multi-GPU support
• Deploy and optimise machine learning models using TensorRT within C++ applications
• Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute
• Configure GPU hardware and software stacks to maximise runtime performance
• Evaluate and recommend appropriate GPU hardware for specific workloads
• Clearly communicate GPU-related opportunities and constraints to non-technical stakeholders

Required Skills, Knowledge & Experience

• Strong modern C++ development skills
• Proven experience with CUDA and CUDA libraries
• Solid understanding of software optimisation and performance tuning
• Experience developing and profiling GPU-accelerated applications
• Confidence working in performance-critical, real-time systems

Desirable (Not Essential)

• Knowledge of networking, streaming, or video compression
• Experience with real-time data pipelines or image processing systems

Working Environment

• Collaborative, cross-disciplinary engineering culture
• Close interaction with machine learning and research teams
• Informal and supportive workplace with an emphasis on sustainable workloads