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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: Be part of groundbreaking projects that shape the future of technology.
- Qualifications: Experience in high-performance systems and distributed computing is a plus.
- Other info: Dynamic team environment with potential for rapid career advancement.
The predicted salary is between 36000 - 60000 £ 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 employer: Callosum
Contact Detail:
Callosum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Open Role - Intelligent Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with engineers who are already working on AI infrastructure. You never know who might have the inside scoop on job openings.
✨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 technical interviews by brushing up on your knowledge of inference infrastructure and kernel development. Practice coding challenges and system design questions to impress 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 hearing from talented engineers like you who are eager to tackle tough problems in AI.
We think you need these skills to ace Open Role - Intelligent Systems Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in high-performance systems and low-level performance engineering. We want to see how your unique skills align with the challenges we tackle at StudySmarter.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI infrastructure and explain why you’re excited about the role. Let us know how your background in inference infrastructure or distributed systems makes you a great fit.
Showcase Relevant Projects: If you've worked on hardware bring-up, kernel development, or accelerator programming, don’t hold back! Include specific projects that demonstrate your expertise and problem-solving skills. We love seeing real-world applications of your knowledge.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the right opportunities as they come up. We can’t wait to hear from you!
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 your unique contributions.
✨Familiarise Yourself with Their Projects
Research the company’s recent projects and innovations in AI infrastructure. Being able to discuss their work shows genuine interest and helps you connect your skills to their needs.
✨Ask Insightful Questions
Prepare thoughtful questions about their approach to heterogeneous compute and how they tackle complex problems. This not only demonstrates your enthusiasm but also gives you a clearer picture of the role and team dynamics.