At a Glance
- Tasks: Develop algorithms and optimisations for high-performance ML inference and compiler stack.
- Company: Join NVIDIA, a leader in AI technology, based in Cambridge.
- Benefits: Enjoy a hybrid work environment with competitive salary and innovative projects.
- Other info: Be part of a culture that promotes innovation and career growth.
- Why this job: Shape the future of AI while collaborating with top engineers in the field.
- Qualifications: MS or PhD in relevant fields with 6 years of experience and strong programming skills.
The predicted salary is between 70000 - 90000 £ per year.
GB04 NVIDIA Development UK Limited in Cambridge is seeking engineers to develop algorithms and optimizations for their LPX inference and compiler stack. You will focus on high-performance runtime components and might influence future architectures, working collaboratively across teams.
Ideal candidates will have an MS or PhD in relevant fields with 6 years of experience, strong programming skills, and familiarity with deep learning frameworks. The position promotes innovation in a hybrid work environment.
Senior ML Inference & Compiler Engineer in Cambridge employer: GB04 NVIDIA Development UK Limited
NVIDIA Development UK Limited in Cambridge is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented engineers. With a strong emphasis on employee growth, the company provides opportunities to influence cutting-edge architectures while enjoying the flexibility of a hybrid work environment, making it an ideal place for those seeking meaningful and rewarding careers in machine learning and compiler development.
Contact Details:
GB04 NVIDIA Development UK Limited Recruitment 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 current or former employees at NVIDIA on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with ML inference and compiler stacks. This will make you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to deep learning frameworks and high-performance computing. Mock interviews with friends can help ease those nerves.
✨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, we love seeing candidates who take the initiative!
We think you need these skills to ace Senior ML Inference & Compiler Engineer in Cambridge
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills and experience with deep learning frameworks in your application. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific position. Mention how your experience can contribute to developing algorithms and optimisations for our LPX inference and compiler stack.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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!
How to prepare for a job interview at GB04 NVIDIA Development UK Limited
✨Know Your Algorithms
Brush up on the algorithms and optimisations relevant to ML inference and compilers. Be ready to discuss your past experiences with these technologies, as well as any innovative solutions you've implemented.
✨Showcase Your Programming Skills
Prepare to demonstrate your strong programming skills. You might be asked to solve coding problems or discuss your approach to software development, so practice coding challenges and be ready to explain your thought process.
✨Familiarity with Deep Learning Frameworks
Make sure you’re well-versed in popular deep learning frameworks. Be prepared to discuss how you've used them in previous projects and how they relate to the role at NVIDIA.
✨Collaborative Mindset
Since the role involves working collaboratively across teams, think of examples where you've successfully worked in a team setting. Highlight your communication skills and how you contribute to a positive team dynamic.
