Software Engineer C;

Position: Software Engineer C (Permanent)
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 Tensor

RT 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