AI Model Optimization Engineer
Intel is seeking an AI Model Performance Optimization Engineer
Key responsibilities will include but not limited to
:
- Enable, validate, benchmark, and optimize AI models on Intel platforms.
- Analyze model performance and identify optimization opportunities.
- Debug issues across AI frameworks, software stacks, and hardware platforms.
- Develop and execute tests to ensure model functionality, accuracy, and performance.
- Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges.
- Utilize AI-assisted development tools to improve engineering productivity.
- Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects.
- Work effectively with globally distributed engineering teams.
- Mentor junior engineers and share technical expertise across the team.
Behavioral traits that we are looking for:
•
Curiosity and Learning Agility
Problem Solving
Ownership
Collaboration
Adaptability
Communication
Global Teamwork
Works effectively across geographically distributed teams and diverse perspectives.
Intel invests in our people and offers a complete and competitive package of benefits employees and their families through every stage of life.
- See Intel Benefits for more details.
Qualifications
Intel U.S. Immigration Sponsorship Information
Minimum Qualifications and Experience :
Bachelor's degree in a Computer Science, Computer Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning, or a related technical discipline with 3+ years of hands-on experience in AI frameworks, algorithms, and programming OR Master's degree in the same field with 1+ years of experience.
Your experience described above must be in the following:
- Programming in Python and/or C++.
- Experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.
- Performance analysis, profiling and optimization.
Preferred Qualifications and Experience
:
- Linux and/or Windows operating systems.
- Git-based software development workflows.
- Experience with GenAI models (LLM, VLM, VLA) or OpenVINO.
- Understanding of parallel programming, preferably with experience in SYCL or OpenCL.
- Previous publications or contributions to AI research.
- Familiarity with OpenVINO or other AI inference frameworks.
- Experience contributing to open-source software projects.
Why Join Intel
Job Type
Shift
Primary Location
Posting Statement
Benefits
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.
Skills
Who can apply
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