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- Tasks: Join us to research and optimise cutting-edge AI systems and infrastructure.
- Company: Leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in the AI field while collaborating with top experts.
- Qualifications: Degree in Computer Science or related field; strong knowledge of distributed systems.
- Other info: Exciting projects with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ 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 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:
- 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., 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.
AI Systems Research Engineer in Dunfermline employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Systems Research Engineer in Dunfermline
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and systems research fields. Attend meetups, webinars, or conferences where you can chat with industry experts. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to distributed systems and AI infrastructure. This could be anything from GitHub repos to detailed case studies. It’s a great way to demonstrate your hands-on experience and passion for the field.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of operating systems, distributed algorithms, and profiling tools. Practice explaining complex concepts in simple terms, as effective communication is key in team-oriented environments.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace AI Systems Research Engineer in Dunfermline
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 match 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 AI systems and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with LLM serving frameworks and your proficiency in C/C++. We’re looking for candidates who can hit the ground running, so highlight any relevant tools or technologies you’ve worked with.
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’s super easy – just follow the prompts!
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 don’t shy away from talking about your hands-on experience with them.
✨Showcase Your Research
If you've got publications in top-tier conferences, bring them up! Discussing your research methodology and findings can really set you apart. It shows you're not just a coder but someone who understands the theory behind the practice.
✨Practice Technical Communication
Since this role requires effective technical communication, practice explaining complex concepts in simple terms. You might be asked to explain your previous projects or how you would approach a problem, so clarity is key!
✨Team Player Vibes
Emphasise your team-oriented mindset during the interview. Share examples of how you've collaborated on projects, especially in high-pressure situations. Companies love candidates who can work well with others and contribute positively to the team dynamic.