At a Glance
- Tasks: Research and optimise cutting-edge AI systems and infrastructure.
- Company: Leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for research-driven growth.
- Other info: Collaborative environment with mentorship from industry experts.
- Why this job: Join a team shaping the future of AI technology and make a real impact.
- Qualifications: Degree in Computer Science or related field; strong systems knowledge required.
The predicted salary is between 63000 - 77000 £ per year.
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 Ph D 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
- Bachelor’s or Master’s 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., v LLM, Ray Serve, Tensor RT-LLM, TGI) anddistributed KV cache optimization.
- Proficiency in C/C++, with additional experience in Pythonfor research prototyping.
- Solid grounding insystems research methodology, distributed algorithms, andprofiling tools.
- Team-oriented mindset with effective technical communication skills.
Desired Qualifications and Experience
- Ph Din systems, distributed computing, or large-scale AI infrastructure.
- Publications intop-tier systems or ML conferences(NSDI, OSDI, Euro Sys, So CC, MLSys, Neur IPS, ICML, ICLR).
- Understanding ofload balancing, state management, fault tolerance, andresource schedulingin large-scale AI inference clusters.
- Prior experience designing, deploying, and profilinghigh-performance cloud or AI infrastructure systems.
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AI System Researcher employer: microTECH Global Limited
microTECH Global Limited is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technology and professional development programs, making it an ideal place for those looking to make a meaningful impact in the AI and video integration space.
StudySmarter Expert Advice🤫
We think this is how you could land AI System Researcher
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at microTECH Global Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to microTECH Global Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like microTECH Global Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like microTECH Global Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI System Researcher
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at microTECH Global Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at microTECH Global Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at microTECH Global Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If microTECH Global Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
