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- 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: Competitive pay, flexible work options, and opportunities for skill enhancement.
- Why this job: Make a real difference in AI by working on groundbreaking projects.
- Qualifications: Experience in high-performance systems and distributed computing is a plus.
- Other info: Dynamic team environment with endless possibilities for growth.
The predicted salary is between 60000 - 80000 £ per year.
We are 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 would 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 will reach out as the right opportunities emerge.
Open Role - Intelligent Systems Engineer in London employer: Callosum
Contact Detail:
Callosum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Open Role - Intelligent 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 AI infrastructure. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of inference infrastructure and distributed systems. Practice coding challenges and system design questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for exceptional talent, so make sure your application stands out by tailoring it to the specific role and highlighting your unique skills.
We think you need these skills to ace Open Role - Intelligent Systems Engineer in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your unique skills and experiences that relate to high-performance systems and low-level performance engineering. We want to see what makes you stand out!
Tailor Your Application: Don’t just send a generic application! 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: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to manage applications and ensure yours gets the attention it deserves!
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 your knowledge of inference infrastructure and distributed systems, as these are likely to come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in hardware bring-up or kernel development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled complex problems.
✨Familiarise Yourself with Their Projects
Research the company’s recent projects and innovations in AI infrastructure. Being able to discuss their work and how your skills can contribute will show your genuine interest and help you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about their approach to heterogeneous compute and the technologies they use. This not only demonstrates your enthusiasm but also helps you gauge if the role aligns with your career goals.