Software Engineer C

Oxford

1 month ago

Applications closed

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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

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