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- Tasks: Develop cutting-edge tennis tracking algorithms and tackle exciting challenges.
- Company: Leading sports tech company with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a passionate team and make an impact in the world of sports technology.
- Qualifications: Experience in computer vision and knowledge of C++ required.
- Other info: Hybrid role with a vibrant culture and room for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports technology company is seeking a Computer Vision Engineer – Algorithms to join their team in Budapest. This hybrid role emphasizes developing tennis tracking algorithms and collaborating on complex challenges.
Successful candidates will have experience in computer vision, a working knowledge of C++, and an interest in optimizing performance for CPU/GPU workloads.
The position offers competitive benefits and a dynamic work environment that supports professional growth.
Hybrid Computer Vision Engineer – Tennis Tracking employer: Hawk-Eye Innovations (HEI)
Contact Detail:
Hawk-Eye Innovations (HEI) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Computer Vision Engineer – Tennis Tracking
✨Tip Number 1
Network like a pro! Reach out to people in the sports tech industry, especially those working with computer vision. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects, especially any related to sports or tracking algorithms. This will help us see your practical experience and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ skills and understanding CPU/GPU performance optimisation. We want to see how you tackle complex challenges, so practice problem-solving under pressure!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Hybrid Computer Vision Engineer – Tennis Tracking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for tennis tracking algorithms and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've tackled in previous roles. We’re looking for candidates who can think critically and creatively, especially when it comes to optimising performance for CPU/GPU workloads.
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. Plus, it’s super easy!
How to prepare for a job interview at Hawk-Eye Innovations (HEI)
✨Know Your Algorithms
Make sure you brush up on the latest tennis tracking algorithms and be ready to discuss your experience with them. Prepare to explain how you've tackled similar challenges in the past, as this will show your problem-solving skills and technical expertise.
✨C++ Proficiency is Key
Since the role requires a working knowledge of C++, be prepared to demonstrate your coding skills. You might be asked to solve a problem or optimise a piece of code during the interview, so practice common algorithms and data structures in C++ beforehand.
✨Show Your Passion for Sports Tech
This company is all about sports technology, so let your enthusiasm shine through! Share any personal projects or experiences related to sports tech, especially if they involve computer vision. This will help you connect with the interviewers and show that you're genuinely interested in the field.
✨Prepare for Performance Optimisation Questions
Since optimising performance for CPU/GPU workloads is crucial, be ready to discuss techniques you've used in the past. Think about specific examples where you improved performance and be prepared to explain your thought process and the results you achieved.
