At a Glance
- Tasks: Run experiments and optimise performance on cloud or on-prem infrastructures.
- Company: Join Callosum, a leader in AI technology with a focus on real-world applications.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to enhance system health and benchmarking.
- Why this job: Make a real impact by translating performance data into actionable insights.
- Qualifications: Experience in large model deployment and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
Callosum is looking for a role focused on bridging internal engineering with real-world applications. You will run experiments and optimize performance on cloud or on-prem infrastructures, while contributing to system health and benchmarking.
Your expertise in large model deployment and effective communication will enable you to translate performance data into actionable insights, ultimately guiding stack optimizations for enhanced efficiency.
Heterogeneous AI Inference Performance Engineer in London employer: Callosum
At Callosum, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Heterogeneous AI Inference Performance Engineer, you will have access to cutting-edge technology and the opportunity for professional growth through hands-on experience in optimising performance across diverse infrastructures. Our commitment to employee development, coupled with a supportive environment, makes Callosum an exceptional place to build a meaningful and rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Heterogeneous AI Inference Performance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your experiments and optimisations. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for those interviews! Research common questions related to AI inference and performance engineering. We recommend practising your answers with a friend or even in front of the mirror to boost your confidence.
✨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 Heterogeneous AI Inference Performance Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and performance engineering shine through. We want to see how your interests align with our mission at Callosum, so don’t hold back on sharing your experiences and projects that fuel your passion!
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Highlight your relevant skills and experiences without fluff, so we can quickly see how you fit into the role of Heterogeneous AI Inference Performance Engineer.
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 of the job description. We love seeing candidates who take the initiative to connect their background with what we’re looking for.
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 role. Plus, it gives you a chance to explore more about us and what we do at Callosum!
How to prepare for a job interview at Callosum
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies and tools relevant to heterogeneous AI inference. Brush up on your knowledge of cloud and on-prem infrastructures, as well as any specific frameworks or languages mentioned in the job description.
✨Prepare Real-World Examples
Think of specific projects where you've optimised performance or run experiments. Be ready to discuss how you translated performance data into actionable insights and the impact it had on system health or efficiency.
✨Communicate Clearly
Since effective communication is key for this role, practice explaining complex technical concepts in simple terms. This will help demonstrate your ability to bridge engineering with real-world applications during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, challenges they face in performance optimisation, and their approach to benchmarking. This shows your genuine interest and helps you gauge if the role is the right fit for you.
