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- Tasks: Join us to optimise and prototype next-gen AI infrastructure with cutting-edge technology.
- Company: Innovative tech firm focused on research-driven engineering in AI and distributed systems.
- Benefits: Competitive salary, opportunities for research publication, and collaboration with senior architects.
- Why this job: Make a real impact in the AI field while advancing your engineering skills.
- Qualifications: BSc/MSc in Computer Science or related field; PhD preferred for advanced roles.
- Other info: Dynamic team environment with excellent growth potential in AI and systems research.
We are seeking Systems Research Engineers with a strong interest in computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven engineering experience in areas such as operating systems, distributed systems, AI model serving, and machine learning infrastructure. You will work closely with senior architects on real-world projects, helping to prototype and optimize next-generation AI infrastructure.
Required Qualifications and Skills:
- Bachelors or Masters degree in Computer Science, Electrical Engineering, or related field.
- Strong knowledge of distributed systems, operating systems, machine learning systems architecture, inference serving, and AI infrastructure.
- Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization.
- Proficiency in C/C++, with additional experience in Python for research prototyping.
- Solid grounding in systems research methodology, distributed algorithms, and profiling tools.
- Team-oriented mindset with effective technical communication skills.
Desired Qualifications and Experience:
- PhD in systems, distributed computing, or large-scale AI infrastructure.
- Publications in top-tier systems or ML conferences (NSDI, OSDI, EuroSys, SoCC, MLSys, NeurIPS, ICML, ICLR).
- Understanding of load balancing, state management, fault tolerance, and resource scheduling in large-scale AI inference clusters.
- Prior experience designing, deploying, and profiling high-performance cloud or AI infrastructure systems.
esearch (Systems) Engineer in Edinburgh employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land esearch (Systems) Engineer in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Systems Research Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to distributed systems and AI infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to operating systems and machine learning systems architecture to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace esearch (Systems) Engineer in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with distributed systems and AI infrastructure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about systems research and how your background makes you a great fit for our team. Let us know what excites you about working on real-world AI projects.
Showcase Your Technical Skills: Be specific about your hands-on experience with LLM serving frameworks and programming languages like C/C++ and Python. We love seeing concrete examples of your work, so include any relevant projects or publications that demonstrate your expertise.
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of distributed systems and AI infrastructure. Be ready to discuss specific frameworks like vLLM or Ray Serve, and have examples of your hands-on experience with them. This shows you're not just familiar with the theory but can apply it in practice.
✨Showcase Your Research
If you've published any papers or worked on projects related to systems research, be prepared to talk about them. Highlighting your contributions to top-tier conferences will impress interviewers and demonstrate your commitment to the field.
✨Communicate Clearly
Since this role requires effective technical communication, practice explaining complex concepts in simple terms. Use clear examples from your past experiences to illustrate your points, making it easier for the interviewers to understand your thought process.
✨Team Player Vibes
Emphasise your team-oriented mindset during the interview. Share experiences where you collaborated with others on projects, especially in a research or engineering context. This will show that you can work well with senior architects and contribute positively to the team dynamic.
