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- Tasks: Develop and maintain tools for performance analysis and debugging in a dynamic team.
- Company: Multinational Semiconductor scale-up focused on AI acceleration architectures.
- Benefits: Competitive salary, bonus, healthcare, and opportunities for growth.
- Why this job: Join a growing team and work on cutting-edge technology in AI and machine learning.
- Qualifications: Strong C++ and Python skills, knowledge of processor architectures, and experience with compute libraries.
- Other info: Collaborate with multi-site teams and make impactful data-driven decisions.
The predicted salary is between 60000 - 84000 £ per year.
My client is a multinational Semiconductor scale-up, focused on AI acceleration architectures. Their performance team is expanding and looking to bring on a Senior C++ Performance Software Engineer to develop and maintain various tools used for functional and performance analysis and debugging.
They are looking for someone to collaborate with multi-site teams to make data-driven decisions within the company. You will also develop, test and verify reference compute library for proprietary NPU ISA.
What’s required?
- Strong C++ and Python Development experience
- Knowledge of processor architectures - GPU, CPU or NPU
- Knowledge of Machine Learning and ML hardware accelerators
- Experience developing compute libraries
If you are a Senior C++ Performance Software Engineer looking for an exciting opportunity within a growing organisation, please apply to learn more!
If you are interested in this or other software opportunities across the UK, please contact Jack Bird.
C++ Tools Software Engineer in Cambridge employer: IC Resources
Contact Detail:
IC Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land C++ Tools Software Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your C++ and Python projects. This could be anything from personal projects to contributions to open-source. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of processor architectures and machine learning concepts. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a straightforward way to get your application noticed.
We think you need these skills to ace C++ Tools Software Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong C++ and Python development experience. 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 and how your knowledge of processor architectures and machine learning can contribute to our team.
Showcase Collaboration Skills: Since we value teamwork, mention any experiences where you collaborated with multi-site teams. Highlight how you made data-driven decisions together, as this is key for us at StudySmarter.
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 from our team!
How to prepare for a job interview at IC Resources
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your previous projects and how you've used C++ in performance software engineering. They’ll likely ask you technical questions, so having a solid grasp of the language and its nuances will give you an edge.
✨Understand Processor Architectures
Since the role involves working with various processor architectures like GPU, CPU, and NPU, it’s crucial to have a good understanding of these. Do some research on how they differ and their applications in AI acceleration. This knowledge will show that you’re not just a coder but someone who understands the bigger picture.
✨Showcase Your Collaboration Skills
This position requires collaboration with multi-site teams, so be ready to share examples of how you’ve successfully worked in teams before. Highlight any experience you have with remote collaboration tools or methodologies, as this will demonstrate your ability to work effectively in a distributed environment.
✨Prepare for Machine Learning Discussions
Given the focus on machine learning and ML hardware accelerators, make sure you can discuss relevant concepts and your experience in this area. Brush up on any compute libraries you’ve developed and be ready to explain how they relate to performance analysis and debugging.
