Software Engineer C

Recruit 12; Oxford; On-site; GBP 50,000 - 70,000; Full time

Job summary

A technology recruiting firm is seeking a skilled Software Engineer specialized in C++ and GPU acceleration. You will develop high-performance systems for various applications including entertainment and scientific domains. The role involves designing algorithms, managing memory interactions, and profiling GPU workloads. Ideal candidates will have modern C++ skills and proven CUDA experience, thriving in an innovative and collaborative environment that values work-life balance.

Qualifications

• Proven experience with modern C++ and CUDA.
• Solid understanding of software optimisation.
• Experience in performance-critical real-time systems.

Responsibilities

• Design and implement high-performance algorithms using CUDA.
• Manage memory and data transfer optimisation.
• Profile and optimise GPU workloads.

Skills

modern C++ development skills

CUDA experience

software optimisation and performance tuning

GPU-accelerated applications development

real-time systems

Tools

CUDA libraries

NVIDIA Nsight Systems

TensorRT

Job description

Software Engineer C++ GPU Acceleration

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