Job Details:

Job Description: 

Our team focuses on analyzing and optimizing AI workloads for both current and next-generation GPU hardware. We work closely with the OpenVINO framework, developing new features and graph-level optimizations to push performance toward theoretical hardware limits. In parallel, we collaborate in a pre-silicon environment with hardware architects and simulation teams to validate upcoming GPU designs and provide early performance insights. We are seeking a highly motivated AI Algorithm Engineer to join our team.

 

In this role, you will analyze and optimize AI model performance on Windows and Linux platforms, leverage GPU hardware to accelerate compute, and work cross-functionally with software and hardware architecture teams. Your work will directly influence GPU performance, software capabilities, and future product directions.

 

Key Responsibilities:

Analyze, profile, and optimize AI models with a focus on GPU performance and efficiency using both pre- and post-silicon tools.

Develop and maintain components of the AI software stack in Python and C++.

Implement, tune, and optimize GPU kernels using parallel programming languages and frameworks.

Produce clear and comprehensive documentation for codebases, performance findings, and analysis workflows.

We would like to see: Excellent problem-solving abilities and strong attention to detail.

Qualifications:

Qualifications

Minimum Qualifications:

Bachelor's degree in CS, CE, mathematics, Physics, or any other related filed.  

 

5+ years of experience in/With:

Programming skills in C++ and Python.

Hands-on experience with major AI frameworks (e.g., PyTorch, TensorFlow, OpenVINO) and understanding of mapping neural network architectures onto hardware-accelerated inference pipelines.

Practical, hands-on experience in performance analysis across AI hardware accelerators, GPUs, or heterogeneous computing architectures.

 

Preferred Qualifications:

Prior experience in kernel programming for GPUs or similar architectures (CUDA, OpenCL, threading, multiprocessing).

Expertise in pre-silicon GPU performance simulation, debugging performance bottlenecks, and analyzing architectural behavior.

Experience with version control systems such as Git and collaborative development workflows.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

US, California, Folsom

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: $170,500.00-240,710.00 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.

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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.