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- Tasks: Architect the backend for next-gen Optical Tensor Processing Units and optimise ML frameworks.
- Company: Leading tech firm at the forefront of innovation.
- Benefits: Competitive salary, equity options, and visa sponsorship available.
- Why this job: Join a pioneering team and shape the future of machine learning technology.
- Qualifications: 7+ years in software engineering with expertise in C/C++ and machine learning.
- Other info: Exciting opportunity for career advancement in a dynamic tech environment.
The predicted salary is between 54000 - 84000 £ per year.
A leading tech firm is seeking a Staff Compiler Engineer to architect the backend for next-generation Optical Tensor Processing Units (OTPU). Responsibilities include defining the technical roadmap, collaborating with hardware teams, and implementing optimizations for ML frameworks like PyTorch and TensorFlow.
Candidates should have over 7 years of experience in software engineering, particularly in C/C++ programming, and a background in machine learning. This role offers a competitive salary and significant equity options.
Staff ML Compiler Engineer — Equity + Visa Sponsorship employer: OLIX
Contact Detail:
OLIX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Compiler Engineer — Equity + Visa Sponsorship
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Optical Tensor Processing Units or similar tech. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've worked on projects involving C/C++ or machine learning frameworks like PyTorch and TensorFlow, create a portfolio or GitHub repo. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding compiler design. Practice common algorithms and data structures, and be ready to discuss how you would optimise ML frameworks. We believe in being well-prepared!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Staff ML Compiler Engineer — Equity + Visa Sponsorship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in C/C++ programming and machine learning. We want to see how your skills align with the role of Staff Compiler Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about working on Optical Tensor Processing Units and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Collaboration Skills: Since this role involves working closely with hardware teams, make sure to mention any past experiences where you’ve successfully collaborated on technical 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 for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to hear from you!
How to prepare for a job interview at OLIX
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of Optical Tensor Processing Units and the ML frameworks mentioned, like PyTorch and TensorFlow. Brush up on your C/C++ skills and be ready to discuss specific projects where you've implemented optimisations.
✨Showcase Your Collaboration Skills
Since this role involves working closely with hardware teams, prepare examples that highlight your teamwork and collaboration experience. Think about times when you successfully worked across disciplines to achieve a common goal.
✨Define Your Vision
Be ready to discuss your vision for the technical roadmap. Consider how you would approach architecting the backend for OTPUs and what innovations you could bring to the table. This shows you’re not just a doer but a thinker.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers. Ask about their current challenges with ML frameworks or how they envision the future of OTPUs. This demonstrates your genuine interest in the role and the company’s direction.
