C++ Engineer GPU Acceleration

Vicon Motion Systems Ltd.; Yarnton; On-site; GBP 40,000 - 55,000; Full time

Job summary

A leading technology company in Yarnton is looking for a C++ Engineer specializing in GPU Acceleration. The successful candidate will develop algorithms in CUDA, manage GPU-related tasks, and improve system performance. The role involves collaboration with the Software Engineering and Machine Learning teams. Candidates should possess strong C++ and CUDA skills, while knowledge of networking and video streaming is advantageous. Competitive salary and a supportive work culture are offered.

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

Qualifications

• Good general C++ programming skills.
• Strong software optimization capabilities.
• Excellent knowledge of CUDA.

Responsibilities

• Develop algorithms in CUDA.
• Manage system-level memory and data transfers.
• Deploy ML models using TensorRT.

Skills

C++

CUDA

Software optimization

Networking

Streaming

Video compression

Tools

CUDA libraries

TensorRT

Nsight Systems/Compute

Job description

C++ Engineer – GPU Acceleration

Department: Vicon Software Development

Employment Type: Permanent - Full Time

Location: Yarnton, Oxfordshire

Reporting To: Nick Bullock

Description

Are you interested in working on products at the very cutting edge of technology? Want to join Vicon, an Academy Award®-winning company, and the world’s largest supplier of precision motion capture and tracking systems?

Vicon is the world leader in motion capture technology, developing high performance software and hardware products for the entertainment, engineering and life science industries. Vicon products are used in major feature films, games, and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting‑edge science.

Vicon is a subsidiary of Oxford Metrics Plc.

We are looking for a software engineer to help us maximize the performance of GPU based processing within our systems. This includes tasks such as the efficient handling of real‑time data streams, image processing and deep learning.

Key Responsibilities

• 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.

You would be working as part of our Software Engineering team and closely with our Machine Learning and Research teams. We have an informal and friendly company culture and a healthy work/life balance.

Required Skills, Knowledge and Expertise

Candidates must have good general C++, software optimization skills, excellent CUDA, and be confident using CUDA libraries.

Knowledge of networking, streaming, and video compression would also be beneficial but are not requirements.

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