At a Glance
- Tasks: Develop cutting-edge machine learning compilers for next-gen AI hardware.
- Company: Fractile, a leader in innovative AI acceleration technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Work in vibrant Bristol or London with a collaborative team.
- Why this job: Join us to shape the future of AI technology and make a real impact.
- Qualifications: Experience with machine learning compilers and proficiency in C/C++ required.
The predicted salary is between 60000 - 80000 £ per year.
Fractile is seeking a Senior ML Compiler Engineer to develop the machine learning compiler stack for innovative AI acceleration hardware. This role offers the opportunity to work collaboratively with hardware and software teams to optimize performance.
The ideal candidate has proven experience with machine learning compilers, skills in C/C++, and a degree in relevant fields. Join us in Bristol or London for this unique opportunity to shape new technologies.
Senior ML Compiler Architect for Next-Gen AI Accelerators in London employer: Fractile
Fractile is an exceptional employer, offering a unique opportunity to be part of a fast-growing AI hardware startup in London. With a supportive and ambitious team culture, employees are empowered to take ownership of their work while enjoying ample opportunities for personal and professional growth. The company's commitment to innovation and compliance in a cutting-edge field ensures that every team member plays a vital role in shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Compiler Architect for Next-Gen AI Accelerators in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Fractile. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions related to machine learning compilers, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on C/C++ and compiler design principles. We all know that being technically sound is key, so practice coding challenges and system design questions.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior ML Compiler Architect for Next-Gen AI Accelerators in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning compilers and C/C++. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at Fractile and how your background makes you a perfect fit for the Senior ML Compiler Engineer role. Keep it engaging and personal.
Showcase Collaboration Skills:Since this role involves working closely with hardware and software teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Fractile
✨Know Your Compilers
Make sure you brush up on your knowledge of machine learning compilers. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you optimised performance. This will show your depth of experience and passion for the field.
✨C/C++ Proficiency is Key
Since the role requires skills in C/C++, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your approach to writing efficient code. Practising common algorithms and data structures can really help here.
✨Collaborative Spirit
Fractile values teamwork, so highlight your experience working with both hardware and software teams. Share examples of how you’ve successfully collaborated in the past, and be ready to discuss how you would approach working with cross-functional teams in this role.
✨Stay Updated on AI Trends
The AI landscape is constantly evolving, so it’s crucial to stay informed about the latest trends and technologies. Bring up recent advancements in AI acceleration hardware during your interview to show that you’re engaged and knowledgeable about the industry.
