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Openvino Jobs (NOW HIRING)

Reliance One

Computer Vision Engineer

Mountain View, CA

$70 - $75/hr

Experience with CUDA, TensorRT, ONNX Runtime, OpenVINO, or other inference optimization frameworks. * Experience deploying AI models on edge devices and automotive computing platforms. * Familiarity ...

GDIT

Senior Data Scientist

Concord, NC · On-site

Design lightweight, optimized models for edge and disconnected environments when required, supporting model optimization and conversion (ONNX, TensorRT, OpenVINO) for tactical deployment MLOps ...

Intel

Senior AI Software Architect - Runtime

Hillsboro, OR · On-site

$141K - $191K/yr

... ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding ...

Viant Technology

Senior IoT Engineer

Boston, MA · On-site

$140K - $160K/yr

Experience with AI inference optimization technologies such as TensorRT, OpenVINO, ONNX Runtime, TensorFlow Lite, or similar frameworks. LIFE AT VIANT * Investing in our employee's professional ...

Aptiv

Senior Solutions Architect

Boston, MA · On-site

... OpenVINO, ONNX Runtime, vendor SDKs). * Business Acumen: Ability to translate complex technical solutions into clear business value and ROI for executives. * Ability to design end-to-end Edge ...

Intel

Senior AI Software Architect - Runtime

Santa Clara, CA · On-site

$152K - $206K/yr

... ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding ...

Intel

Senior AI Software Architect - Runtime

Austin, TX

$128K - $174K/yr

... ONNX, IREE, OpenVINO, TVM. * 5+ years of experience leading software architecture for complex AI, runtime, or accelerator software systems, including defining technical direction and guiding ...

Intel

AI Performance Library Architect

Hillsboro, OR · 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 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.

What is OpenVINO and what is it used for?

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 are some common challenges faced by professionals working with OpenVINO in deploying AI models to edge devices?

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 are the key skills and qualifications needed to thrive as an OpenVINO Developer, and why are they important?

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.
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Infographic showing various Openvino job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, and 11% Remote job distribution.
System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026

System Software Engineer, Dynamo-Triton Inference Server - New College Grad 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 4 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are looking for a System Software Engineer to work on Dynamo-Triton Inference Server. NVIDIA is hiring software engineers for its GPU-accelerated deep learning software team. Academic and commercial groups around the world are using GPUs to power a revolution in AI, enabling breakthroughs in problems from image classification to speech recognition to natural language processing. We are a fast-paced team building a highly-performant AI inference platform to make design and deployment of new AI models easier and accessible to all users.
What you'll be doing:
  • Develop world-class GPU-accelerated AI inference serving software.
  • Contribute to feature development and drive broad customer adoption.
  • Drive the convergence of the Triton Inference Server and NVIDIA Dynamo stacks to establish a unified, high-performance inference platform. This platform will ensure feature parity and effectively serve both Large Language Model (LLM) and non-LLM workloads.
  • Be an active member of the open source deep learning software engineering community.
  • Balance a variety of objectives such as building robust software designed to be deployed in production server or cloud environments, optimizing and balancing prediction throughput and latency, and developing and adopting the next generation of inference technologies.

What we need to see:
  • Pursuing or recently completed a MS or PhD in Computer Science or related field (or equivalent experience).
  • Excellent Rust or C++ skills, familiarity with Python, and strong programming & software design skills including debugging, performance analysis, and test design.
  • Experience with high-scale distributed systems and ML systems.
  • Strong communication skills and ability to work in a fast-paced, agile team environment.

Ways to stand out from the crowd:
  • Prior experience with AI frameworks and engines, such as TensorRT, PyTorch, ONNX, OpenVINO, vLLM, or TRT-LLM.
  • Knowledge of GPU memory management, cache management, or high-performance networking.
  • Experience with distributed systems programming.
  • Experience in contributing to a large open source project: use of GitHub, bug tracking, branching and merging code, OSS licensing issues handling patches, etc.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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