Edge AI Computer Vision Engineer (GStreamer/DeepStream)

Edge AI Computer Vision Engineer (GStreamer/DeepStream)

Full-Time 55000 - 70000 £ / year (est.) No working from home possible
VivaCity

At a Glance

  • Tasks: Develop AI-driven traffic sensor systems using cutting-edge technology.
  • Company: VivaCity, a leader in sustainable transport solutions.
  • Benefits: Salary between £55,000-£70,000, flexible and hybrid working options.
  • Other info: Opportunity to make a real impact on sustainable transport systems.
  • Why this job: Join a dynamic team to revolutionise transport with AI technology.
  • Qualifications: Experience in computer vision and familiarity with NVIDIA's Edge AI stack.

The predicted salary is between 55000 - 70000 £ per year.

VivaCity is seeking an experienced Computer Vision Engineer to develop AI-driven traffic sensor systems in London. You will work with NVIDIA's Edge AI stack and enhance real-time inference capabilities, collaborating with teams to push the limits of AI in transport.

Offering a salary of £55,000-£70,000, this role allows for flexible and hybrid working arrangements, making it a dynamic opportunity to improve sustainable transport systems.

Edge AI Computer Vision Engineer (GStreamer/DeepStream) employer: VivaCity

VivaCity is an exceptional employer that champions innovation and sustainability in the heart of London. With a focus on employee growth, we offer flexible and hybrid working arrangements, competitive salaries, and a collaborative work culture that empowers you to push the boundaries of AI technology in transport. Join us to make a meaningful impact on urban mobility while advancing your career in a supportive environment.

VivaCity

Contact Details:

VivaCity Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Edge AI Computer Vision Engineer (GStreamer/DeepStream)

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 put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions and be ready to discuss your experience with NVIDIA's Edge AI stack and real-time inference capabilities.

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 are proactive about their job search!

We think you need these skills to ace Edge AI Computer Vision Engineer (GStreamer/DeepStream)

Computer Vision
AI-driven Systems Development
NVIDIA Edge AI Stack
Real-time Inference
Collaboration Skills
Traffic Sensor Systems
Sustainable Transport Solutions

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with AI and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in transport and how you can contribute to our mission at VivaCity. Keep it engaging and personal – we love to see your personality!

Showcase Your Technical Skills:Since this role involves working with NVIDIA's Edge AI stack, make sure to mention any experience you have with GStreamer or DeepStream. We’re keen to know how you’ve used these tools in past projects!

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 VivaCity

Know Your Tech Stack

Make sure you’re well-versed in NVIDIA's Edge AI stack, GStreamer, and DeepStream. Brush up on your knowledge of real-time inference capabilities and be ready to discuss how you've applied these technologies in past projects.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled challenges in computer vision or AI-driven systems. Be specific about the problems you faced, the solutions you implemented, and the impact they had on your projects.

Collaborate Like a Pro

Since this role involves teamwork, think of instances where you successfully collaborated with others. Highlight your communication skills and how you’ve worked with cross-functional teams to achieve common goals.

Stay Updated on Industry Trends

Familiarise yourself with the latest advancements in AI and transport technology. Being able to discuss current trends and how they might influence VivaCity’s projects will show your passion and commitment to the field.