- 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.
- 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
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We are looking for a software engineer to help us maximize the performance of GPU based processing within our systems. · Developing Algorithms in CUDA. · Host – Device system management (memory management, data transfers, multi-GPU support). · Deployment of ML models using Tensor ...
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C++ Engineer – GPU Acceleration - Yarnton - Vicon Motion Systems Ltd.
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
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
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