Senior CUDA Engineer - High-Performance GPU Inference

Senior CUDA Engineer - High-Performance GPU Inference

Full-Time No working from home possible
Fuse Energy, LLC

At a Glance

  • Tasks: Design and optimise GPU kernels for high-performance transformer inference workloads.
  • Company: Fuse Energy, a leader in innovative energy solutions.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Join a cutting-edge team and make a significant impact in AI technology.
  • Qualifications: Experience with CUDA programming and a strong understanding of GPU architecture.

Fuse Energy is seeking a CUDA Engineer to design and optimize low-level GPU kernels powering our transformer inference workloads. You will write custom CUDA kernels, tune memory bandwidth, and push the throughput of our GPU fleet at the SM, warp, and memory hierarchy level.

Collaborate with ML and systems teams to profile, fuse kernels, implement quantisation-aware arithmetic, and ensure robust tests and documentation.

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Senior CUDA Engineer - High-Performance GPU Inference employer: Fuse Energy, LLC

Fuse Energy is an exceptional employer for Finance Interns, offering a dynamic and innovative work environment in the heart of Canary Wharf, London. With a strong focus on employee growth, interns will gain invaluable experience in a high-performance startup while enjoying competitive salaries, fully expensed tech, and allowances for meals. The collaborative culture fosters teamwork and initiative, making it an ideal place for ambitious individuals to thrive and contribute to a mission-driven company at the forefront of renewable energy.

Fuse Energy, LLC

Contact Details:

Fuse Energy, LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior CUDA Engineer - High-Performance GPU Inference

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We think you need these skills to ace Senior CUDA Engineer - High-Performance GPU Inference

CUDA Programming
GPU Kernel Optimization
Memory Bandwidth Tuning
High-Performance Computing
Transformer Inference
Kernel Profiling
Quantisation-Aware Arithmetic

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Fuse Energy, LLC.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fuse Energy, LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Fuse Energy, LLC

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Fuse Energy, LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.