Computer Vision AI SDK Engineer

Computer Vision AI SDK Engineer

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build robust SDKs and automate deployment pipelines for cutting-edge computer vision solutions.
  • Company: Zebra Technologies, a leader in innovative tech solutions.
  • Benefits: Competitive salary, health benefits, and opportunities for remote work.
  • Other info: Collaborative environment with great potential for career growth.
  • Why this job: Join a dynamic team and make an impact in the exciting field of AI and computer vision.
  • Qualifications: Experience in machine learning and software development, with a passion for innovation.

The predicted salary is between 63000 - 77000 Β£ per year.

Zebra Technologies in London is seeking a Computer Vision Engineer to bridge high-level ML research and production.

You will build robust SDKs, automate deployment pipelines, and ensure models run efficiently across edge So Cs to cloud GPUs.

You will optimize model throughput with hardware-specific toolkits and deploy across Qualcomm So Cs, Intel CPUs, and NVIDIA GPUs, collaborating to deliver scalable, high-performance computer vision solutions.

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Computer Vision AI SDK Engineer employer: Zebra Technologies

At Zebra, we pride ourselves on fostering a culture of innovation and collaboration, where every employee is valued and empowered to make a meaningful impact. As an AI Software Engineer, you will thrive in a forward-thinking environment that prioritises personal growth and offers unique opportunities to work on cutting-edge technology. With a commitment to community and global causes, Zebra provides a fulfilling career path that aligns your skills with your passions, all while enjoying competitive benefits and a supportive workplace culture.

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Contact Details:

Zebra Technologies Recruitment Team

We think you need these skills to ace Computer Vision AI SDK Engineer

Computer Vision
Machine Learning
SDK Development
Deployment Automation
Model Optimization
Edge Computing
SoC Architecture