AI Performance Library Architect

Intel is hiring an AI Performance Library Architect. It pays $171k-$315k a year and Level rates it ; you can apply on Intel.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions PyTorch, TensorFlow and C among its tools and skills.
Level classes it as a senior role.
Intel has 842 other open roles on Level.

AI in this role

Develop and architect neural network performance libraries like oneDNN to optimize AI workloads across Intel CPUs and GPUs.

PyTorchTensorFlowCCUDAOpenclOpenvinoOnnx Runtime

deep-learninghigh-performance-computingnumerical-stabilityperformance-engineering

Job Details:

Job Description:

Software and AI (SAI) organization is looking for a software development engineer to work on oneDNN project ( https://github.com/uxlfoundation/oneDNN ). oneDNN is a complex cross-platform open-source software project focusing on neural network performance. oneDNN is a critical and highly visible component of Intel AI strategy, powering key AI applications including 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 portions of AI workloads. In this role you will be supporting software developers optimizing AI frameworks and workloads for Intel CPUs and GPUs, as well as cross-platform ecosystem of AI software developers contributing to oneDNN.

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 requirements:

Master’s degree in Mathematics, Physics, Computer Science, or a relevant STEM field. OR
Ph.D. degree in Mathematics, Physics, Computer Science, or a relevant STEM field.
5+ years of experience in the following areas:
- C and C++
- Maintaining or contributing to open-source software projects
- Software libraries design and architecture
- Implementation of linear algebra algorithms (functions from BLAS, LAPACK, or PyTorch)
- Performance engineering and software performance optimizations
- Floating point arithmetic and numerical stability
- Software development on Linux
- Low-level performance optimizations using CUDA, x86 assembly or intrinsics, or OpenCL

Preferred qualifications:

3 years+ Machine learning and deep learning algorithms or High-performance computing (HPC) applications development
3 year+ Floating point implementations of transcendental functions (sin, cos, tanh, elu, etc)
1 year+ Algorithms for non-IEEE low precision data types (bfloat16, fp8, fp4)
1 year+ AI assisted software development

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, California, Folsom

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: $170,500.00-315,490.00 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 Performance Library Architect at Intel rates 85 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 Performance Library Architect is an open job at Intel.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $171k-$315k a year.
The role is based in US, Oregon, Hillsboro.
The job was posted on September 17, 2026.
Seniority: senior.
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

Deep learningHigh Performance ComputingNumerical StabilityPerformance EngineeringPyTorchTensorFlowCCUDA

Questions you could be asked

Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where high performance computing was part of your work. What did you do?
Tell me about a project where numerical stability was part of your work. What did you do?
Tell me about a project where performance engineering was part of your work. What did you do?
Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Deep learning, High Performance Computing, Numerical Stability, Performance Engineering, and PyTorch. 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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