Intel
AI Model Optimization Engineer
US, California, Santa Clara · Mid
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About the role
- This is an exciting opportunity for engineers passionate about Generative AI, machine learning systems, model optimization, and performance engineering who want to influence technologies used by millions of people globally.
- Analyze model performance and identify optimization opportunities.
Responsibilities
- Enable, validate, benchmark, and optimize AI models on Intel platforms.
- Develop and execute tests to ensure model functionality, accuracy, and performance.
- Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges.
- Ownership: Takes initiative, drives issues to resolution, and delivers high-quality results with accountability.
Requirements
- You must possess the below minimum qualifications to be initially considered for this position.
- Your experience described above must be in the following:
- 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.
- 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.
- 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:
Nice to have
- For information on Intel's immigration sponsorship guidelines, please see
- Intel U.S. Immigration Sponsorship Information
- 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.
Skills
- The Role and Impact
- Debug issues across AI frameworks, software stacks, and hardware platforms.
- Utilize AI-assisted development tools to improve engineering productivity.
- Curiosity and Learning Agility: Demonstrates a passion for learning emerging AI technologies, frameworks, and development methodologies.
- Adaptability: Thrives in fast-paced environments where priorities and technologies evolve rapidly.
Compensation
- 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.
- Annual Salary Range for jobs which could be performed in the US:
- $149,750.00-275,580.00 USD
Benefits
- 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.
- Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment.
- Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects.
- Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Company info
- Behavioral traits that we are looking for:
- We offer a total compensation package that ranks among the best in the industry.
Visa & Work Authorization
- For information on Intel's immigration sponsorship guidelines, please see
This listing is sourced directly from Intel's careers page and normalized into a canonical job model.