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- Tasks: Build high-performance applications and deploy machine learning models on an edge computing platform.
- Company: Fast-scaling VC-backed AI technology company in Greater London.
- Benefits: Attractive salary, equity options, and high autonomy in your role.
- Other info: Exciting opportunity in a dynamic startup environment.
- Why this job: Join a highly experienced team and make an impact in the AI space.
- Qualifications: 3+ years of C++ and Python experience, with skills in performance tuning and CI/CD.
The predicted salary is between 42000 - 84000 £ per year.
A VC-backed AI technology company is seeking a C++ Developer to be part of a fast-scaling startup in Greater London. You will work with a highly experienced team on an edge computing platform, responsible for building high-performance applications and deploying machine learning models.
The ideal candidate holds 3+ years of C++ and Python experience, with skills in performance tuning and CI/CD. Attractive salary and equity options offered, along with high autonomy in your role.
Edge AI C++ Engineer — Real-Time, Low-Latency in London employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI C++ Engineer — Real-Time, Low-Latency in London
✨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, especially those related to edge computing or machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on performance tuning and CI/CD practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 are proactive about their job search!
We think you need these skills to ace Edge AI C++ Engineer — Real-Time, Low-Latency in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ and Python experience, especially any projects related to edge computing or machine learning. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of high-performance applications you've built or worked on. If you've done any performance tuning or CI/CD work, let us know! This is your chance to shine.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about the role and how you can contribute to our team. Be genuine and let your personality come through – we love to see passion!
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 us!
How to prepare for a job interview at Oliver Bernard
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your past projects and how you've used C++ in real-time applications. They’ll likely ask about performance tuning, so have specific examples ready to showcase your expertise.
✨Showcase Your Python Skills
Since Python is also part of the job description, don’t forget to highlight your experience with it. Be ready to explain how you've integrated Python with C++ in your previous roles, especially in deploying machine learning models.
✨Understand Edge Computing
Familiarise yourself with edge computing concepts and how they apply to low-latency applications. Being able to discuss the benefits and challenges of edge AI will show that you’re not just a coder but someone who understands the bigger picture.
✨Prepare for CI/CD Questions
Given the emphasis on CI/CD in the role, be prepared to talk about your experience with continuous integration and deployment processes. Have examples of how you've implemented these practices in your previous work to demonstrate your hands-on knowledge.