AI Model Optimization Engineer

Intel is seeking an AI Model Performance Optimization Engineer to help deliver high-performance AI solutions that enable the next generation of client computing experiences. In this role, you will enable, validate, benchmark, optimize, and debug AI models to ensure they run efficiently and accurately across Intel hardware platforms.

Working at the intersection of artificial intelligence, machine learning frameworks, software engineering, and hardware acceleration, you will collaborate with engineers across Intel to improve AI model performance, scalability, and adoption by customers and partners worldwide.

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.

• 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.

• Curiosity and Learning Agility:
  Demonstrates a passion for learning emerging AI technologies, frameworks, and development methodologies.
• Problem Solving:
  Approaches complex technical challenges with structured analysis and creative thinking.
• Ownership:
  Takes initiative, drives issues to resolution, and delivers high-quality results with accountability.
• Collaboration:
  
  Works effectively across software, hardware, architecture, and product teams to achieve shared objectives.
• Adaptability:
  Thrives in fast-paced environments where priorities and technologies evolve rapidly.
• Communication:
  Communicates complex technical concepts clearly to both technical and non-technical audiences.
• 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.

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 Tensor Flow.
• Performance analysis, profiling and optimization.

• 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.

At Intel, you'll help shape the future of AI by developing technologies that improve the performance and efficiency of AI applications used worldwide. You'll collaborate with industry-leading engineers, work across the AI software and hardware stack, and contribute to innovative solutions that power next-generation computing experiences.

Experienced Hire

Shift 1 (United States of America)

US, California, Santa Clara

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 b

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