Principal AI Performance Architect - GPU & HPC in Bristol
Principal AI Performance Architect - GPU & HPC

Principal AI Performance Architect - GPU & HPC in Bristol

Bristol Full-Time 57600 - 84000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Research GPU acceleration for AI workloads and optimise algorithms with industry experts.
  • Company: Leading technology firm in Bristol, pioneering next-gen innovations.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Make a real impact on cutting-edge technology and shape the future of AI.
  • Qualifications: 15+ years in software development, fluency in C/C++, and parallel programming expertise.
  • Other info: Join a dynamic team at the forefront of technological advancement.

The predicted salary is between 57600 - 84000 £ per year.

A leading technology company in Bristol is looking for a Principal Developer Technology Engineer to research GPU acceleration for AI workloads. The ideal candidate will have over 15 years of experience in software development, fluency in C/C++, and expertise in parallel programming.

Responsibilities include:

  • Collaborating with experts to optimize algorithms
  • Publishing findings

This role offers the chance to impact next-gen technology at a pioneering firm.

Principal AI Performance Architect - GPU & HPC in Bristol employer: Nvidia

Join a pioneering technology company in Bristol that values innovation and collaboration, offering a vibrant work culture where your expertise in GPU acceleration for AI workloads can truly shine. With a strong focus on employee growth, you will have access to cutting-edge projects and opportunities to publish your findings, making a meaningful impact on next-generation technology. Enjoy competitive benefits and a supportive environment that fosters creativity and professional development.
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Contact Detail:

Nvidia Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal AI Performance Architect - GPU & HPC in Bristol

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with GPU and HPC. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects in C/C++ and parallel programming. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for technical interviews by brushing up on algorithms and optimisation techniques. We recommend practicing coding challenges that focus on AI workloads and GPU acceleration.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to make an impact.

We think you need these skills to ace Principal AI Performance Architect - GPU & HPC in Bristol

Software Development
C/C++
Parallel Programming
Algorithm Optimization
Research Skills
Collaboration
Technical Writing
AI Workloads
GPU Acceleration
Performance Engineering
Problem-Solving Skills
Innovation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in software development, especially with C/C++. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in parallel programming!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about GPU acceleration for AI workloads and how your 15+ years of experience make you the perfect fit for this role. Let us know what excites you about working with us!

Showcase Your Collaboration Skills: Since the role involves collaborating with experts, highlight any past experiences where teamwork led to successful outcomes. We love seeing how you’ve worked with others to optimise algorithms or tackle complex challenges.

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. Don’t miss out on the chance to impact next-gen technology with us!

How to prepare for a job interview at Nvidia

✨Know Your Tech Inside Out

Make sure you brush up on your C/C++ skills and parallel programming concepts. Be ready to discuss specific projects where you've implemented GPU acceleration for AI workloads, as this will show your depth of knowledge and experience.

✨Showcase Your Collaboration Skills

Since the role involves working with experts to optimise algorithms, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional teams you've worked with and the impact of your contributions.

✨Prepare for Technical Questions

Expect to face some challenging technical questions during the interview. Practice explaining complex concepts clearly and concisely, as well as discussing your approach to problem-solving in high-performance computing scenarios.

✨Demonstrate Your Passion for Innovation

This is a pioneering firm, so they’ll want to see your enthusiasm for next-gen technology. Be prepared to share your thoughts on emerging trends in AI and GPU technology, and how you envision contributing to their future developments.

Principal AI Performance Architect - GPU & HPC in Bristol
Nvidia
Location: Bristol

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