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- Tasks: Optimise intelligent models for Edge AI and manage the entire product lifecycle.
- Company: Leading streaming technology company based in Cambridge with a focus on innovation.
- Benefits: Comprehensive healthcare, flexible remote work options, and a supportive work environment.
- Why this job: Join a cutting-edge team and contribute to high-impact projects in AI technology.
- Qualifications: Strong C/C++ skills and experience with embedded systems required.
- Other info: Exciting opportunities for career growth in a dynamic tech landscape.
The predicted salary is between 36000 - 60000 £ per year.
A leading streaming technology company in Cambridge is seeking a Senior Software Engineer for its Advanced Development group. The role involves working on Edge AI, optimizing intelligent models for on-device use. Candidates should have excellent C/C++ skills and experience with embedded systems. You will be responsible for the entire product lifecycle, contributing to high-impact projects. Benefits include comprehensive healthcare and flexible remote work options.
Edge AI Senior Software Engineer: On-Device & Hybrid ML in Cambridge employer: Roku, Inc.
Contact Detail:
Roku, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge AI Senior Software Engineer: On-Device & Hybrid ML in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to Edge AI or embedded systems, make sure to highlight that. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on C/C++ and any relevant ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 that extra step to connect directly with us.
We think you need these skills to ace Edge AI Senior Software Engineer: On-Device & Hybrid ML in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C/C++ expertise and any experience with embedded systems in your application. We want to see how your skills align with the Edge AI focus of the role!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. This shows us you’re genuinely interested in the position.
Highlight Your Impact: Since you’ll be working on high-impact projects, share examples from your past work where you made a significant contribution. We love to see how you’ve driven results in previous roles!
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!
How to prepare for a job interview at Roku, Inc.
✨Know Your C/C++ Inside Out
Make sure you brush up on your C/C++ skills before the interview. Be prepared to discuss specific projects where you've used these languages, especially in embedded systems. They’ll likely want to see how you approach problem-solving in real-time scenarios.
✨Showcase Your Edge AI Knowledge
Familiarise yourself with Edge AI concepts and recent advancements. Be ready to talk about how you've optimised models for on-device use in past roles. This will demonstrate your understanding of the technology and its applications in streaming.
✨Discuss the Product Lifecycle
Since you'll be responsible for the entire product lifecycle, think about examples from your experience where you’ve contributed from conception to deployment. Highlight your role in high-impact projects and how you navigated challenges along the way.
✨Emphasise Flexibility and Teamwork
With flexible remote work options being a perk, it’s important to convey your adaptability and teamwork skills. Share experiences where you successfully collaborated with remote teams or adapted to changing project requirements.
