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- Tasks: Develop cutting-edge AI techniques and optimise performance on next-gen GPU architectures.
- Company: Join NVIDIA, a leader in technology innovation and AI development.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Collaborative culture with opportunities for travel and networking at conferences.
- Why this job: Be part of the AI revolution and make a real impact across industries.
- Qualifications: Masters or PhD in computer science, with strong programming skills and AI knowledge.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the AI Developer Technology Engineer role at NVIDIA.
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 more than half a century, is no longer science fiction. In the next few years it will transform every industry: self‑driving cars, AI travel agents, and medical instruments that read and understand patient DNA.
Responsibilities
- 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.
Qualifications
- 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 committed to fostering a diverse work environment and is a proud equal opportunity employer. NVIDIA does not discriminate 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.
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AI Developer Technology Engineer employer: Nvidia
Contact Detail:
Nvidia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer Technology Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at NVIDIA or similar companies. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, machine learning, or GPU programming. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI algorithms. Practice common interview questions and consider mock interviews to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your application to highlight your relevant experience and passion for AI and parallel computing.
We think you need these skills to ace AI Developer Technology Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for artificial intelligence shine through. We want to see that you’re not just qualified, but genuinely excited about the potential of AI and how it can transform 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 projects that showcase your skills in machine learning and deep learning.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate a logical approach, so structure your application in a way that’s easy for us to follow.
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 to do!
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 relation to GPU architectures. This shows your passion and expertise in the field.
✨Show Off Your Coding Skills
Since strong knowledge of C/C++ is a must, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practising coding challenges can really help you shine!
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms. This will not only help you during the interview but also show that you can collaborate effectively with different teams at NVIDIA.
✨Ask Insightful Questions
Prepare some thoughtful questions about NVIDIA's projects, team dynamics, or future technologies. This demonstrates your genuine interest in the company and the role, and it gives you a chance to assess if it's the right fit for you too.