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- Tasks: Write server-side software for AI inference stacks and develop cloud-based tools.
- Company: Cutting-edge AI hardware company based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a new team and work on innovative AI projects that make a difference.
- Qualifications: Proficient in Rust, C, or C++ with strong systems-level engineering experience.
- Other info: Dynamic environment with a focus on problem-solving and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A cutting-edge AI hardware company in London is looking for Rust engineers to join their new team. You will write server-side software for AI inference stacks and develop cloud-based tools. Ideal candidates are problem-solvers with strong systems-level engineering experience, proficient in Rust, C, or C++.
This role offers a hybrid work model, enabling you to work in the office three days a week and remotely for two days.
Senior Rust AI Inference Engineer – Greenfield Stack in London employer: Fractile
Contact Detail:
Fractile Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Rust AI Inference Engineer – Greenfield Stack in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Rust communities, whether it's on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Rust projects or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on systems-level engineering concepts. Practice coding challenges in Rust, C, or C++ to demonstrate your problem-solving abilities during the interview process.
✨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 candidates who are proactive about their job search!
We think you need these skills to ace Senior Rust AI Inference Engineer – Greenfield Stack in London
Some tips for your application 🫡
Show Off Your Rust Skills: Make sure to highlight your experience with Rust in your application. We want to see how you've used it in past projects, especially in server-side software or AI inference stacks.
Problem-Solving Examples: We love problem-solvers! Include specific examples of challenges you've tackled in systems-level engineering. This will help us understand your thought process and approach to complex issues.
Tailor Your Application: Don’t just send a generic CV. Tailor your application to the job description. Mention your proficiency in C or C++ if applicable, and relate your experience to the role we’re offering.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Fractile
✨Know Your Rust Inside Out
Make sure you brush up on your Rust knowledge before the interview. Be prepared to discuss your experience with Rust, especially in server-side applications. They’ll likely want to hear about specific projects where you've used Rust to solve complex problems.
✨Showcase Your Systems-Level Engineering Skills
Since this role requires strong systems-level engineering experience, think of examples from your past work that highlight your problem-solving abilities. Be ready to explain how you approached challenges and what solutions you implemented, particularly in AI or cloud-based environments.
✨Familiarise Yourself with AI Inference Stacks
Do some research on AI inference stacks and be prepared to discuss how they work. Understanding the architecture and components involved will show your enthusiasm for the role and your ability to contribute effectively to their cutting-edge projects.
✨Prepare for a Hybrid Work Discussion
Since the position offers a hybrid work model, think about how you manage your time and productivity in both office and remote settings. Be ready to share your strategies for collaboration and communication, as well as how you stay motivated when working from home.
