Senior Embedded Vision Engineer — Real-Time Edge AI
Senior Embedded Vision Engineer — Real-Time Edge AI

Senior Embedded Vision Engineer — Real-Time Edge AI

Full-Time 60000 - 80000 £ / year (est.) No home office possible
Luxoft

At a Glance

  • Tasks: Design and optimise high-performance computer vision and AI pipelines for consumer devices.
  • Company: Leading technology firm at the forefront of innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Join a dynamic team and shape the future of AI in consumer tech.
  • Qualifications: Strong C++ skills, experience in computer vision, and ML model deployment.
  • Other info: Collaborative environment with a focus on real-time performance and innovation.

The predicted salary is between 60000 - 80000 £ per year.

A leading technology firm is seeking a hands-on technical leader to design, optimize, and productize high-performance computer vision and AI pipelines for consumer devices. The ideal candidate will have strong C++ expertise, significant experience in computer vision, and proven success in deploying ML models on embedded systems.

This role demands collaboration across various teams to ensure real-time performance and robustness, making it essential to have a strong background in performance optimization and debugging.

Senior Embedded Vision Engineer — Real-Time Edge AI employer: Luxoft

As a leading technology firm, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Our commitment to professional development is evident through tailored growth opportunities and collaborative projects that enhance skills in cutting-edge technologies like AI and computer vision. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that values creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding careers.
Luxoft

Contact Detail:

Luxoft Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Embedded Vision Engineer — Real-Time Edge AI

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Embedded Vision Engineer role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects in computer vision and AI. We want to see your hands-on experience with C++ and ML models. A strong portfolio can really set you apart from the crowd.

Tip Number 3

Prepare for those technical interviews! Brush up on your performance optimization and debugging skills. We recommend practicing coding challenges and discussing your past projects to demonstrate your expertise in real-time edge AI.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see how you can contribute to our team and help us push the boundaries of embedded vision technology.

We think you need these skills to ace Senior Embedded Vision Engineer — Real-Time Edge AI

C++ Expertise
Computer Vision
Machine Learning (ML) Deployment
Embedded Systems
Performance Optimization
Debugging Skills
Collaboration
Real-Time Processing

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your C++ expertise and any relevant experience in computer vision. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!

Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior Embedded Vision Engineer position. We love it when candidates take the time to connect their experiences directly to what we’re looking for.

Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Luxoft

Know Your C++ Inside Out

Make sure you brush up on your C++ skills before the interview. Be prepared to discuss specific projects where you've used C++, especially in relation to computer vision and AI. They’ll likely want to see how you’ve optimised code for performance, so have examples ready.

Showcase Your Computer Vision Experience

Prepare to talk about your hands-on experience with computer vision. Bring examples of past projects where you’ve designed or optimised AI pipelines. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.

Collaboration is Key

Since this role involves working across various teams, be ready to discuss your experience in collaborative environments. Think of examples where you successfully worked with others to achieve a common goal, particularly in high-pressure situations.

Debugging and Performance Optimisation

Be prepared to dive into your debugging strategies and performance optimisation techniques. They might ask you to solve a problem on the spot, so practice explaining your thought process clearly. Showing that you can think critically under pressure will set you apart.

Senior Embedded Vision Engineer — Real-Time Edge AI
Luxoft

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