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Openvino Jobs (NOW HIRING)

Principal Software Engineer

Raleigh, NC ยท On-site +1

$151.51K - $249.95K/yr

Familiarity with model parallelization, quantization, and memory optimization (e.g., vLLM, DeepSpeed, OpenVino). * AI/MLOps: Experience with GitOps, automation pipelines, and managing the AI/ML ...

Senior AI Algorithm Engineer in oneDNN

Santa Clara, CA ยท On-site +1

$195.20K - $275.58K/yr

... OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel ...

... OpenVINO, or Qualcomm's AI toolchain including SNPE, QNN. โ€ข 3+ years of experience developing real-time edge AI systems with emphasis on vision, multimodal perception, and sensor fusion. โ€ข Strong ...

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR ยท On-site +1

$195.20K - $275.58K/yr

... OpenVINO, TensorFlow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel ...

... 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 ...

... 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 ...

Software Engineer

Redford, MI

$85.40K - $192.90K/yr

Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. * Familiarity with ML frameworks like PyTorch or TensorFlow . * Knowledge of industrial protocols (MQTT, WebSockets) for real ...

Software Engineer

Redford, MI ยท On-site

$85.40K - $192.90K/yr

Experience with OpenCV, TensorRT, or OpenVINO for vision optimization. * Familiarity with ML frameworks like PyTorch or TensorFlow . * Knowledge of industrial protocols (MQTT, WebSockets) for real ...

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Openvino information

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.

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 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 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.

More about Openvino jobs
What cities are hiring for Openvino jobs? Cities with the most Openvino job openings:
What states have the most Openvino jobs? States with the most job openings for Openvino jobs include:
Infographic showing various Openvino job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 81% Physical, and 19% Remote job distribution.

Principal Software Engineer

Redhat

Raleigh, NC โ€ข On-site, Remote

$151.51K - $249.95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Job description

Job Description

About the Job

Red Hat is seeking a Principal Software Engineer to join our team. In this role, you will collaborate with a diverse, highly motivated group of engineers to design and implement Agentic AI features and solutions and integrate partner solutions. You will also work closely with product management, other engineering teams at Red Hat, as well as Red Hat partners and lighthouse customers.

Are you ready to develop innovative solutions that combine open source, hybrid cloud, and AI?

What you will do:

  • Architectural Leadership: Lead the implementation of scalable, distributed computing solutions designed to serve Agentic AI and ensure seamless integration with the Red Hat product portfolio.

  • MAS Design: Define and implement Multi-Agent System (MAS) architectures, including orchestration layers, state machines, tool registries, and resilient routing policies with safe fallbacks.

  • Interoperability Standards: Hands-on experience implementing Model Context Protocol (MCP) for standardized tool/data access and Agent-to-Agent (A2A) or ACP protocols for cross-platform agent communication and task delegation.

  • Upstream Influence: Contribute to and influence upstream AI/ML communities to steer the evolution of open standards for agentic workflows.

  • Strategic Collaboration: Partner with AI/ML vendors and internal teams to refine AI strategies, addressing specific use cases that drive value through Red Hat's next-generation UX.

  • Reference Architectures: Develop technical blueprints and multi-product demos that showcase the "Art of the Possible" using the Red Hat AI stack.

  • Innovation: Proactively explore emerging AI technologies to identify opportunities for incorporating new capabilities into software development workflows and tooling.

  • Engineering Excellence: Drive AI integration within the software development lifecycle (SDLC), sharing successful experiment use cases with stakeholders to foster broader innovation.


What you will bring:

  • 7+ years of relevant software engineering experience

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience

  • Agentic Frameworks: Proven experience building agents and tooling frameworks; deep expertise in LangGraph, PydanticAI, or similar state-management libraries.

  • Core AI Engineering: Experience implementing sophisticated RAG, long-term memory systems, semantic caches, and vector databases.

  • Systems Expertise: Expert-level proficiency in Python or Go, with a specific focus on building resilient, asynchronous distributed systems.

  • Infrastructure: Solid experience with containers and orchestration via OpenShift or Kubernetes.

  • Inference Optimization: Familiarity with model parallelization, quantization, and memory optimization (e.g., vLLM, DeepSpeed, OpenVino).

  • AI/MLOps: Experience with GitOps, automation pipelines, and managing the AI/ML lifecycle in production environments.

  • Evaluation & Safety: Direct experience with Agent Evaluation (Eval) frameworks (measuring success rates/hallucinations) and implementing Guardrails & Governance (preventing prompt injection/infinite loops).

The following are considered a plus:

  • Cloud Computing experience with AWS, GCP, Azure, or IBM Cloud.

  • A history of open-source contributions or active participation in the AI/ML community (GitHub, Research, or Upstream).

#LI-SS1

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The salary range for this position is $151,510.00 - $249,950.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

About Red Hat

Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.

Inclusion at Red Hat
Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.


Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.