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- Tasks: Develop cutting-edge algorithms and optimise GPU performance for real-time data processing.
- Company: Join Vicon, an Academy Award-winning leader in motion capture technology.
- Benefits: Enjoy competitive salary, generous leave, private medical insurance, and a cycle-to-work scheme.
- Why this job: Be at the forefront of technology, impacting films, games, and groundbreaking science.
- Qualifications: Strong C++ skills, CUDA expertise, and a passion for software optimisation.
- Other info: Friendly culture with excellent work/life balance and career growth opportunities.
The predicted salary is between 36000 - 60000 £ 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.
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 Plc
Contact Detail:
Oxford Metrics Plc 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 got a portfolio of projects, especially those involving CUDA or GPU processing, make sure to highlight them during interviews. We love seeing practical applications of your expertise!
✨Tip Number 3
Prepare for technical questions! Brush up on your C++ and CUDA knowledge, and be ready to discuss how you would tackle real-time data streams or image processing challenges. We want to see your problem-solving skills in action!
✨Tip Number 4
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 C++ Skills: Make sure to highlight your C++ expertise in your application. We want to see how you've used it in real projects, especially if you've optimised software or worked with GPU acceleration.
CUDA is Key: Since we're all about GPU processing, don’t forget to mention your experience with CUDA. Share specific examples of algorithms you've developed or any cool projects where you’ve used CUDA libraries.
Keep It Relevant: Tailor your application to the job description. Focus on your experience with real-time data streams, image processing, and any machine learning models you've deployed. This will show us you're a great fit for our team!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Vicon!
How to prepare for a job interview at Oxford Metrics Plc
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Vicon is looking for someone with solid software optimisation skills, so be prepared to discuss your experience with C++ in detail, including any specific projects where you've implemented performance improvements.
✨CUDA is Key
Since the role heavily involves CUDA, ensure you can talk confidently about your experience with it. Be ready to explain how you've developed algorithms in CUDA and any challenges you've faced while working with GPU acceleration. Practical examples will really help you stand out!
✨Understand the Hardware
Familiarise yourself with different GPU hardware and their configurations. Vicon values recommendations for suitable GPU hardware, so being able to discuss various options and their performance implications will show that you're proactive and knowledgeable.
✨Communicate Clearly
You'll need to communicate complex technical concepts to non-technical colleagues, so practice explaining your work in simple terms. Think of examples where you've had to bridge the gap between technical and non-technical teams, as this will demonstrate your ability to collaborate effectively.
