At a Glance
- Tasks: Research and optimise parallel algorithms for AI and data processing workloads.
- Company: Join NVIDIA, a leader in pioneering technology and innovation.
- Benefits: Gain hands-on experience, mentorship, and exposure to cutting-edge hardware design.
- Other info: Dynamic internship with opportunities for professional growth in a vibrant team.
- Why this job: Make a real impact on next-gen tech while collaborating with top experts.
- Qualifications: Pursuing a PhD or Master's with strong C/C++ programming skills.
The predicted salary is between 20000 - 30000 € per year.
NVIDIA AI is seeking an internship in their Data Processing Developer Technology team in Bristol, UK. The role involves researching parallel algorithms to enhance AI and data processing workloads.
Responsibilities include:
- Optimizing complex algorithms
- Publishing findings to engage the developer community
- Collaborating with various teams to influence next-generation hardware design
Candidates must be pursuing a PhD or Master's in a relevant field and possess strong C/C++ programming skills. Join NVIDIA to contribute to pioneering technologies.
GPU Accelerator Research Intern - AI & HPC employer: NVIDIA AI
NVIDIA is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for aspiring researchers in AI and HPC. Located in the vibrant city of Bristol, employees benefit from a dynamic work environment, opportunities for professional growth, and the chance to contribute to groundbreaking technologies that shape the future. With a commitment to employee development and a supportive community, NVIDIA stands out as a rewarding workplace for those seeking meaningful contributions in their field.
StudySmarter Expert Advice🤫
We think this is how you could land GPU Accelerator Research Intern - AI & HPC
✨Tip Number 1
Network like a pro! Reach out to current or former NVIDIA employees on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a GitHub repo showcasing your C/C++ prowess. This is a great way to demonstrate your coding chops and passion for AI and HPC.
✨Tip Number 3
Get ready for the interview! Brush up on parallel algorithms and be prepared to discuss how you would optimise them. We want to see your thought process and 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 serious about joining the NVIDIA team!
We think you need these skills to ace GPU Accelerator Research Intern - AI & HPC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences, especially in C/C++ programming and any research projects related to AI or parallel algorithms. We want to see how your background aligns with the role!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and HPC. Share specific examples of your work or research that demonstrate your fit for the internship. This is your chance to stand out!
Showcase Your Research:If you've published any findings or contributed to projects, make sure to mention them! We love seeing how candidates engage with the developer community and contribute to advancing technology.
Apply Through Our Website:To ensure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at NVIDIA AI
✨Know Your Algorithms
Make sure you brush up on parallel algorithms and their applications in AI and data processing. Be ready to discuss specific examples from your studies or projects where you've optimised algorithms, as this will show your understanding and passion for the field.
✨Show Off Your Coding Skills
Since strong C/C++ programming skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with common algorithms and data structures that could come up during the interview.
✨Engage with the Developer Community
NVIDIA values contributions to the developer community, so think about how you can showcase your involvement. Whether it's through publications, open-source projects, or forums, be prepared to discuss how you've shared your findings or collaborated with others in the tech space.
✨Collaborate and Communicate
This role involves working with various teams, so highlight your teamwork and communication skills. Prepare examples of past collaborations, focusing on how you influenced project outcomes or contributed to team success. This will demonstrate your ability to thrive in a collaborative environment.
