AI Frameworks Engineer

Intel is hiring an AI Frameworks Engineer. It pays $133k-$241k a year and Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch and TensorFlow.
Level classifies it as a mid-level role.
Level lists 877 other open roles at Intel.
The role was posted in the last few days.

AI in this role

PyTorchTensorFlow

Job Details:

Job Description:

Do Something Wonderful!

Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let’s do something wonderful together. Join us, because at Intel, we are building a better tomorrow. Want to learn more? Visit our YouTube Channel or the links below!

Life at Intel

The Role and Impact
As an AI Frameworks Engineer, you will play a pivotal role in designing and developing cutting-edge AI software to optimize AI frameworks. On a practical day-to-day level, you will contribute to the development and optimization of advanced AI frameworks, implement distributed algorithms, and collaborate with researchers to deliver high-performance solutions. Your work will directly enhance Intel's AI capabilities and drive innovation in machine learning and deep learning technologies.

Business Group
At Intel Corporation, our teams are dedicated to pushing the boundaries of technology to create world-changing innovations. This role sits within a group focused on advancing AI solutions, with work spanning the development of optimized frameworks and libraries to accelerate artificial intelligence applications. Together, we enable breakthroughs in AI performance, supporting Intel's mission to shape the future of computing and empower our customers globally.

Key Responsibilities:

Design, develop, and optimize AI frameworks such as OpenVINO, TensorFlow, and PyTorch.
Implement and enhance distributed algorithms, including model/data parallel frameworks, parameter servers, and asynchronous data communication.
Transform computational graph representations of neural network models to achieve performance improvements.
Develop high-performance machine learning and deep learning primitives within mathematical libraries.
Profile distributed deep learning models to identify bottlenecks and propose effective solutions.
Optimize code across a variety of computing hardware backends to maximize performance.
Collaborate closely with researchers to integrate advancements in machine learning and deep learning into frameworks.

The ideal candidate should demonstrate the following behavioral traits:

Strong communication and presentation skills.
Strong organizational and planning skills.
Ability to work independently in a highly matrixed structure.

Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with 1+ years of experience in AI frameworks development and optimization OR Master's degree in relevant field.
6+ months experience in:
- Programming languages such as Python, C++, or similar.
- AI frameworks (e.g., TensorFlow, PyTorch, OpenVINO).
- Algorithmic and mathematical skills applicable to machine learning and deep learning.

Preferred Qualifications

Master's degree in relevant field with 2+ years of related experience OR Ph.D.
Optimizing code for hardware backends like CPUs, GPUs, or accelerators.
Familiarity with distributed computing techniques and tools for AI applications.
Experience working with graph-based computation models and performance profiling tools.
Strong communication skills and experience collaborating in cross-functional teams.
A passion for driving innovation and solving complex technical challenges in the AI domain.

We are looking for innovative minds eager to shape the future of AI development and contribute to groundbreaking advancements. Join us to make an impact and grow your career in a supportive environment where you can thrive both technically and personally.

Benefits at Intel

Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits | Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion.

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location:

US, California, Folsom

Additional Locations:

US, Oregon, Hillsboro

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: $133,410.00-240,710.00 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.

How we rate this

AI Frameworks Engineer at Intel rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Frameworks Engineer is an open job at Intel.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $133k-$241k a year.
The role is based in US, California, Folsom.
The job was posted on November 13, 2026.
Seniority: mid.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorchTensorFlow

Questions you could be asked

What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: PyTorch and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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