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- Tasks: Develop algorithms and optimisations for our cutting-edge compiler stack.
- Company: Join a leading technology company in the UK with a focus on innovation.
- Benefits: Enjoy a hybrid work environment and competitive salary.
- Why this job: Make a real impact on machine learning applications and enhance inference performance.
- Qualifications: 5+ years in software engineering, C/C++ proficiency, and deep learning framework knowledge.
- Other info: Collaborate with cross-functional teams in a dynamic and innovative setting.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the UK is seeking a Senior Machine Learning Applications and Compiler Engineer to develop algorithms and optimizations for their compiler stack. You will focus on enhancing inference performance and collaborate closely with cross-functional teams.
Qualified candidates will have:
- A minimum of 5 years’ experience in software engineering
- Proficiency in C/C++
- Familiarity with deep learning frameworks
This position offers the chance to work in a hybrid setting and contribute to innovative projects.
Senior ML Inference & Compiler Engineer in Cambridge employer: NVIDIA Corporation
Contact Detail:
NVIDIA Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Inference & Compiler Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to ML and compilers. 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 C/C++ skills and deep learning frameworks. Practice coding challenges and system design questions to boost your confidence and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior ML Inference & Compiler Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and your proficiency in 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 passionate about machine learning and compilers. We love seeing candidates who can express their enthusiasm for the field and our company.
Showcase Your Collaboration Skills: Since this role involves working closely with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork and want to know how you contribute to group success!
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 NVIDIA Corporation
✨Know Your Algorithms
Brush up on the latest algorithms and optimisations relevant to machine learning and compilers. Be ready to discuss how you've applied these in your previous roles, as this will show your depth of knowledge and practical experience.
✨Showcase Your Coding Skills
Since proficiency in C/C++ is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that focus on data structures and algorithms to keep your skills sharp.
✨Understand Deep Learning Frameworks
Familiarise yourself with popular deep learning frameworks like TensorFlow or PyTorch. Be prepared to discuss how you’ve used these tools in past projects, as this will highlight your hands-on experience and ability to collaborate with cross-functional teams.
✨Prepare for Hybrid Work Questions
As this role offers a hybrid working environment, think about how you manage your time and productivity in such settings. Be ready to share examples of how you've successfully collaborated with remote teams or managed projects from different locations.