At a Glance
- Tasks: Develop cutting-edge AI solutions and optimise performance on next-gen GPU architectures.
- Company: Join NVIDIA, a leader in tech innovation and AI development.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Why this job: Be part of the AI revolution and make a real impact on future technologies.
- Qualifications: Masters or PhD in computer science, with strong programming and AI skills.
- Other info: Collaborative environment with travel opportunities for conferences and developer visits.
The predicted salary is between 36000 - 60000 £ per year.
NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. In the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. Medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code.
What You Will Be Doing
- Study and develop cutting-edge techniques in machine learning, graphs, data analytics and deep learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
- Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
- Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.
What We Need To See
- A Masters degree or PhD in an engineering or computer science related discipline and 3+ years of relevant work or research experience.
- Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
- Firsthand work experience with parallel programming, ideally CUDA C/C++.
- Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.
- Some travel is required for conferences and for on-site visits with developers.
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
AI Developer Technology Engineer in Bristol employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer Technology Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at NVIDIA. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, machine learning, or GPU programming. This will give you an edge and demonstrate your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past experiences in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the NVIDIA team.
We think you need these skills to ace AI Developer Technology Engineer in Bristol
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for artificial intelligence shine through. Share any personal projects or experiences that highlight your love for the field and how you see AI transforming industries.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Developer Technology Engineer role. Highlight your relevant experience with C/C++, parallel programming, and any specific projects that align with NVIDIA's focus on GPU deep learning.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, making it easy for us to see how you fit into the team. Avoid jargon unless it's necessary!
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people and shows you're serious about joining our innovative team at NVIDIA.
How to prepare for a job interview at Nvidia
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, machine learning, and deep learning. Be ready to discuss specific algorithms and techniques you've worked with, especially in C/C++ and CUDA. Showing your passion for AI will definitely impress them!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in your previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your logical approach and ability to prioritise tasks effectively.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining technical concepts in a way that's easy to understand. You might be asked to collaborate with various teams, so showing that you can convey ideas clearly will set you apart.
✨Research NVIDIA's Culture
Familiarise yourself with NVIDIA's values and work culture. They value diversity and innovation, so think about how your own experiences align with their mission. Being able to articulate why you want to work there and how you fit into their team will make a great impression.