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Openvino Jobs in California (NOW HIRING)

Intel

AI Performance Library Architect

Folsom, CA · On-site

$170K - $315K/yr

... OpenVINO, Tensorflow, Pytorch, ONNX Runtime, and more. In this role, you will be responsible for design, development, and maintenance of new functionality in oneDNN to enable performance critical ...

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Openvino information

What is OpenVINO?

OpenVINO (Open Visual Inference and Neural Network Optimization) is a free toolkit developed by Intel to help developers optimize and deploy AI inference, particularly deep learning models, across Intel hardware such as CPUs, GPUs, VPUs, and FPGAs. It is mainly used for accelerating computer vision applications like image classification, object detection, and facial recognition. OpenVINO streamlines the process of converting and optimizing models from popular frameworks, making them faster and more efficient for edge and cloud deployments.

What skills and qualifications are needed to work with OpenVINO?

To thrive as an OpenVINO Developer, you need a solid background in computer vision, deep learning, and proficiency in Python or C++, often supported by a degree in computer science or a related field. Familiarity with the OpenVINO toolkit, neural network optimization, and frameworks like TensorFlow or PyTorch is essential. Strong problem-solving skills, attention to detail, and effective communication help developers collaborate and innovate in deploying AI solutions. These skills ensure optimized AI performance on edge devices and successful integration of machine learning models into production environments.

What challenges do professionals face when deploying AI models to edge devices using OpenVINO?

Professionals working with OpenVINO often encounter challenges related to optimizing and converting AI models to ensure they run efficiently on diverse edge hardware. These challenges include ensuring compatibility with various device architectures, minimizing inference latency, and handling limitations in memory and compute resources. Additionally, troubleshooting model conversion errors and maintaining accuracy during optimization are frequent tasks. Collaboration with hardware engineers and software developers is also essential to address performance bottlenecks and integrate solutions smoothly into production environments.

What is the difference between Openvino vs Computer Vision Engineer?

AspectOpenvinoComputer Vision Engineer
Required CredentialsKnowledge of AI frameworks, hardware optimization, programming skillsDegree in Computer Science, Electrical Engineering, or related fields; experience in AI and image processing
Work EnvironmentTech companies, AI development labs, hardware manufacturersResearch institutions, tech firms, startups, or industry-specific companies
Employer & Industry UsagePrimarily used in AI inference optimization, embedded systems, and hardware accelerationDeveloping and implementing computer vision algorithms for applications like surveillance, robotics, and autonomous vehicles

Openvino focuses on optimizing AI inference workloads and hardware acceleration, often requiring knowledge of AI frameworks and hardware. In contrast, a Computer Vision Engineer designs and develops vision algorithms, working across various industries. While both roles involve AI and image processing, Openvino is more specialized in deployment and optimization, whereas Computer Vision Engineers focus on algorithm development and application.

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For Openvino jobs in California, the most frequently searched job titles are:

What job categories do people searching Openvino jobs in California look for?

The top searched job categories for Openvino jobs in California are:

What cities in California are hiring for Openvino jobs?

Cities in California with the most Openvino job openings:

Openvino jobs near you

Staff Software Engineer - Edge Mapping

San Francisco, CA • On-site

Hivemapper
Internet and IT • 11 - 50 employees
Learn more about Hivemapperexternal

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Hivemapper is a decentralized global map data network built by thousands of mapping devices. They are seeking a Staff Software Engineer to evolve and architect efficient userspace software systems that handle high-frequency data in real-time and optimize machine learning vision models for their hardware.
Responsibilities:
• Evolve and architect efficient userspace software systems dealing with rich, high frequency data in realtime
• Build high-level C++, Python, and TypeScript embedded applications and sensor fusion pipelines, and computer vision systems.
• Use a data-driven approach to iterating quickly with near-realtime performance monitoring across 10s of thousands of devices worldwide
• Write high quality software that takes advantage of hardware paths when possible
• Optimize ML vision models to run on our hardware efficiently.
Qualifications:
Required:
• Experience with embedded sensor solutions
• Solid understanding of map data sensor platforms - RGB, global shutter stereo depth, GNSS, IMUs, etc.
• Hands-on Linux OS development experience for embedded systems (we use Yocto)
• Proficiency in C or C++ and at least one of Python, Typescript, Node.JS, OpenVINO, or Go
Company:
Hivemapper is a community-owned mapping network that creates unprecedented coverage, freshness, and quality. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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