At a Glance
- Tasks: Tackle challenging AI infrastructure problems and innovate with cutting-edge technology.
- Company: Join a forward-thinking company at the forefront of AI development.
- Benefits: Flexible work environment, competitive pay, and opportunities for skill enhancement.
- Other info: Exciting career paths in a dynamic and collaborative setting.
- Why this job: Be part of groundbreaking projects that shape the future of computing.
- Qualifications: Experience in high-performance systems, distributed systems, or hardware development.
The predicted salary is between 60000 - 80000 £ per year.
We're always looking for exceptional engineers who want to work on the hardest problems in AI infrastructure - bringing novel accelerators to life, building the systems that orchestrate them, and charting the new territories of what heterogeneous compute can do.
If you think you have unique skills to contribute, or have experience in any of the following, we'd love to hear from you:
- High-performance systems and low-level performance engineering
- Inference infrastructure, orchestration, or distributed systems
- Hardware bring-up, kernel development, or accelerator programming
- Simulation, modelling, or workload design
Share your details and we'll reach out as the right opportunities emerge.
Open Role - Systems Engineer in London employer: Callosum
Contact Detail:
Callosum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Open Role - Systems Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with engineers on LinkedIn. You never know who might have the inside scoop on an open role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to high-performance systems or distributed systems. This gives us a tangible way to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of inference infrastructure and kernel development. We want to see how you think through problems, so practice explaining your thought process clearly.
✨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 hearing from candidates who are genuinely interested in joining our team.
We think you need these skills to ace Open Role - Systems Engineer in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight any unique skills or experiences you have that relate to high-performance systems or low-level performance engineering. We want to see what makes you stand out!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements mentioned in the job description. We love seeing how your background aligns with our needs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Remember, less is often more!
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It helps us keep everything organised and ensures your application reaches the right people at StudySmarter!
How to prepare for a job interview at Callosum
✨Know Your Tech Inside Out
Make sure you’re well-versed in high-performance systems and low-level performance engineering. Brush up on the latest trends in AI infrastructure and be ready to discuss how your unique skills can contribute to solving complex problems.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on, especially those involving inference infrastructure or distributed systems. Highlight your role, the challenges faced, and how you overcame them to demonstrate your hands-on experience.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company’s work with novel accelerators and heterogeneous compute. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
✨Practice Problem-Solving
Expect technical questions that test your problem-solving skills. Practice coding challenges or system design scenarios related to hardware bring-up or kernel development to showcase your analytical thinking and technical prowess.