Founding AI Inference Architect for Scalable Serving

Founding AI Inference Architect for Scalable Serving

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Fuse Energy

At a Glance

  • Tasks: Define and build scalable AI inference workloads while collaborating with cutting-edge teams.
  • Company: Join Fuse Energy, a pioneering company at the forefront of AI technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team with immense potential for career advancement.
  • Why this job: Shape the future of AI inference and make a significant impact in a founding role.
  • Qualifications: Experience in AI inference and strong collaboration skills required.

The predicted salary is between 80000 - 100000 £ per year.

Fuse Energy seeks a Founding AI Inference Engineer to define and build how we serve AI inference workloads at scale, reporting to the CTO.

You will own the layer above CUDA/kernel work, shaping models to be served, scaled, and delivered against performance targets.

In this founding role you will collaborate with CUDA/GPU teams, design high-throughput serving stacks, and set the standards for inference performance and reliability as the company grows.

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Founding AI Inference Architect for Scalable Serving employer: Fuse Energy

Fuse Energy is an exceptional employer, offering a dynamic work environment where innovation meets opportunity. As an AI Compute Data Centre Engineer, you will be at the forefront of cutting-edge technology in the UK, with access to competitive salaries, biannual bonuses, and fully expensed tech. Our culture fosters professional growth and collaboration, ensuring that every team member can thrive and contribute to impactful projects.

Fuse Energy

Contact Details:

Fuse Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding AI Inference Architect for Scalable Serving

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Fuse Energy or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Fuse Energy.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Fuse Energy.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Fuse Energy that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Founding AI Inference Architect for Scalable Serving

AI Inference Engineering
CUDA
GPU Collaboration
High-Throughput Serving Stacks
Performance Target Setting
Model Shaping
Scalability Design

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.

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 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

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 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.