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- Tasks: Develop cutting-edge algorithms in CUDA and optimise GPU performance.
- Company: Join Vicon, an Academy Award-winning leader in motion capture technology.
- Benefits: Enjoy a competitive salary, generous leave, and private medical insurance.
- Other info: Friendly culture with great work/life balance and career growth.
- Why this job: Work on innovative projects that impact films, games, and science.
- Qualifications: Strong C++ skills and experience with CUDA required.
The predicted salary is between 50000 - 65000 £ per year.
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 ExpertiseCandidates 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
C++ Engineer – GPU Acceleration in Yarnton employer: Oxford Metrics
Contact Detail:
Oxford Metrics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Engineer – GPU Acceleration in Yarnton
✨Tip Number 1
Network like a pro! Reach out to current employees at Vicon on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Software Engineering team.
✨Tip Number 2
Show off your skills! If you’ve worked on any projects involving CUDA or GPU acceleration, make sure to discuss them in interviews. We want to see how you can apply your knowledge to real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and CUDA skills. Practice coding challenges that focus on algorithms and performance optimisation. We love seeing candidates who can think on their feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at Vicon.
We think you need these skills to ace C++ Engineer – GPU Acceleration in Yarnton
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your C++ and CUDA skills. We want to see how you've used these in real projects, so don't hold back on the details!
Tailor Your Application: Take a moment to customise your application for the C++ Engineer role. Mention specific experiences that relate to GPU acceleration and real-time data processing. This shows us you’re genuinely interested in the position.
Keep It Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points if it helps, and avoid jargon unless it's relevant to the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Oxford Metrics
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your experience with software optimisation and how you've tackled performance issues in past projects. Vicon is looking for someone who can hit the ground running, so showcasing your expertise will definitely give you an edge.
✨Get Familiar with CUDA
Since the role involves developing algorithms in CUDA, it’s crucial to demonstrate your proficiency. Review key concepts and be ready to explain how you've used CUDA in previous work. If you can share specific examples of how you’ve optimised GPU performance, that’ll impress the interviewers.
✨Understand Real-Time Data Processing
Vicon deals with real-time data streams, so it’s important to understand the challenges and solutions related to this area. Prepare to discuss any relevant experience you have with image processing or deep learning, and think about how you can apply that knowledge to their products.
✨Communicate Clearly with Non-Technical Colleagues
One of the key responsibilities is to communicate GPU opportunities and challenges to non-technical team members. Practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical teams, which is vital in a collaborative environment like Vicon.