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- Tasks: Build innovative software solutions for ML compilation and collaborate on cutting-edge projects.
- Company: Leading tech company in Cambridge with a strong team culture.
- Benefits: Competitive salary, inclusive environment, and opportunities for professional growth.
- Why this job: Join a dynamic team pushing the boundaries of ML technology on CPUs/GPUs/NPUs.
- Qualifications: Over 5 years of software development experience, especially in C++.
- Other info: Exciting projects that drive AI innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in Cambridge is looking for a Senior Software Engineer to contribute to its Machine Learning Group. This role focuses on building innovative software solutions for ML compilation and requires over 5 years of experience in software development, particularly with C++. The successful candidate will collaborate on projects that support Arm's architecture, pushing the boundaries of ML technology. The company emphasizes a strong team culture and inclusive environment.
Senior ML Compiler Engineer – Drive AI on CPUs/GPUs/NPUs in Cambridge employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Compiler Engineer – Drive AI on CPUs/GPUs/NPUs in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to ML compilation or C++, make sure to highlight it. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and data structures, and be ready to discuss how you've tackled challenges in past projects.
✨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 Senior ML Compiler Engineer – Drive AI on CPUs/GPUs/NPUs in Cambridge
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in software development, especially with C++. We want to see how your skills align with the role and how you can contribute to our Machine Learning Group.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior ML Compiler Engineer role. Mention any relevant projects or experiences that showcase your ability to work with Arm's architecture.
Be Yourself: We value a strong team culture and inclusivity, so let your personality shine through in your application. Share your passion for ML technology and how you collaborate with others to drive innovation.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to review your application and get you on board to help push the boundaries of ML technology!
How to prepare for a job interview at NLP PEOPLE
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills, as this role heavily relies on it. Be prepared to discuss your past projects and how you've used C++ to solve complex problems, especially in the context of machine learning.
✨Understand ML Compilation
Familiarise yourself with the principles of ML compilation and how it applies to different architectures like CPUs, GPUs, and NPUs. Being able to articulate your understanding of these concepts will show that you're not just a coder but someone who can contribute to innovative solutions.
✨Showcase Team Collaboration
Since the company values a strong team culture, be ready to share examples of how you've successfully collaborated with others in previous roles. Highlight any experiences where you contributed to a project as part of a team, especially in a diverse or inclusive environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's projects and their approach to ML technology. This not only shows your interest in the role but also gives you a chance to assess if the company’s culture aligns with your values.
