AI Frameworks Engineer (OpenVINO, GenAI)
Intel
•
Phoenix, AZ
0
0
0
0
Not Applicable
Posted March 28, 2026
2 variants
Job link
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Responsibilities
Commitments
Responsibilities
- As an AI Frameworks Engineer, you will spearhead the development and enhancement of innovative use cases for OpenVINO GenAI.
- This exciting role involves diving deep into the architecture of generative models and the OpenVINO ecosystem, implementing new features, and optimizing performance to deliver state-of-the-art inference solutions.
Commitments
Shift
Shift 1 (United States of America)
Primary Location:
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment.
If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Not Met Priorities
What still needs stronger evidence
Requirements
- Proven experience in Deep Learning architectures, particularly Generative AI models (e.g., Transformers, Diffusion models).
- Familiarity with popular AI frameworks such as PyTorch, TensorFlow, or the Hugging Face Transformers library.
- Minimum of 5 years of hands-on development experience utilizing C/C++, Python.
- Experience with model optimization techniques (i.e., quantization, pruning).
- Demonstrated understanding of multithreading concepts and practical experience in developing the thread-safe code
- Effective verbal and written communication skills in English (intermediate level or higher).
- Knowledge of the OpenVINO Toolkit or other deep learning inference runtimes (ONNX Runtime, Lite RT, Executorch).
- Experience contributing to open-source projects.
- Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.
- Experienced Hire
Preferred Skills
- Proven experience in Deep Learning architectures, particularly Generative AI models (e.g., Transformers, Diffusion models).
- Familiarity with popular AI frameworks such as PyTorch, TensorFlow, or the Hugging Face Transformers library.
- Minimum of 5 years of hands-on development experience utilizing C/C++, Python.
- Experience with model optimization techniques (i.e., quantization, pruning).
- Demonstrated understanding of multithreading concepts and practical experience in developing the thread-safe code
- Strategic problem-solver: You possess the ability to dissect challenging technical problems and devise practical solutions that align with project goals and constraints.
- Impactful communicator and cross-functional collaborator: You excel at conveying technical insights clearly and building strong partnerships, thriving in both independent work and collaborative environments.
- Effective verbal and written communication skills in English (intermediate level or higher).
- Knowledge of the OpenVINO Toolkit or other deep learning inference runtimes (ONNX Runtime, Lite RT, Executorch).
- Experience contributing to open-source projects.
- Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.
Education
- (Not required) – Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 5+ years of experience.
- (Not required) – OR
- (Not required) – Master's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 3+ years of experience.
- (Not required) – Effective verbal and written communication skills in English (intermediate level or higher).
- (Not required) – Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.
Job Details
Job Description:
Join Intel's OpenVINO team, a critical force in accelerating AI inference from the edge to the cloud. Our mission is to empower developers worldwide by optimizing deep learning models for maximum performance across diverse Intel hardware. You'll be an integral part of the OpenVINO GenAI team, which is at the forefront of enabling efficient and powerful generative AI pipeline deployments.
As an AI Frameworks Engineer, you will spearhead the development and enhancement of innovative use cases for OpenVINO GenAI. This exciting role involves diving deep into the architecture of generative models and the OpenVINO ecosystem, implementing new features, and optimizing performance to deliver state-of-the-art inference solutions.
Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 5+ years of experience. OR
Master's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 3+ years of experience.
Proven experience in Deep Learning architectures, particularly Generative AI models (e.g., Transformers, Diffusion models).
Familiarity with popular AI frameworks such as PyTorch, TensorFlow, or the Hugging Face Transformers library.
Minimum of 5 years of hands-on development experience utilizing C/C++, Python.
Preferred Qualifications
Experience with model optimization techniques (i.e., quantization, pruning).
Demonstrated understanding of multithreading concepts and practical experience in developing the thread-safe code
Strategic problem-solver: You possess the ability to dissect challenging technical problems and devise practical solutions that align with project goals and constraints.
Impactful communicator and cross-functional collaborator: You excel at conveying technical insights clearly and building strong partnerships, thriving in both independent work and collaborative environments.
Effective verbal and written communication skills in English (intermediate level or higher).
Knowledge of the OpenVINO Toolkit or other deep learning inference runtimes (ONNX Runtime, Lite RT, Executorch).
Experience contributing to open-source projects.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Arizona, Phoenix
Business Group
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $149,750.00 - 275,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Job Description:
Join Intel's OpenVINO team, a critical force in accelerating AI inference from the edge to the cloud. Our mission is to empower developers worldwide by optimizing deep learning models for maximum performance across diverse Intel hardware. You'll be an integral part of the OpenVINO GenAI team, which is at the forefront of enabling efficient and powerful generative AI pipeline deployments.
As an AI Frameworks Engineer, you will spearhead the development and enhancement of innovative use cases for OpenVINO GenAI. This exciting role involves diving deep into the architecture of generative models and the OpenVINO ecosystem, implementing new features, and optimizing performance to deliver state-of-the-art inference solutions.
Qualifications
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 5+ years of experience. OR
Master's degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field with 3+ years of experience.
Proven experience in Deep Learning architectures, particularly Generative AI models (e.g., Transformers, Diffusion models).
Familiarity with popular AI frameworks such as PyTorch, TensorFlow, or the Hugging Face Transformers library.
Minimum of 5 years of hands-on development experience utilizing C/C++, Python.
Preferred Qualifications
Experience with model optimization techniques (i.e., quantization, pruning).
Demonstrated understanding of multithreading concepts and practical experience in developing the thread-safe code
Strategic problem-solver: You possess the ability to dissect challenging technical problems and devise practical solutions that align with project goals and constraints.
Impactful communicator and cross-functional collaborator: You excel at conveying technical insights clearly and building strong partnerships, thriving in both independent work and collaborative environments.
Effective verbal and written communication skills in English (intermediate level or higher).
Knowledge of the OpenVINO Toolkit or other deep learning inference runtimes (ONNX Runtime, Lite RT, Executorch).
Experience contributing to open-source projects.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and/or schoolwork/classes/research.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Arizona, Phoenix
Business Group
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $149,750.00 - 275,580.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.