AI Model Optimization Engineer
intel.wd1 · Posted Oct 21
Semiconductor design, microprocessors, artificial intelligence hardware, and foundry manufacturing services
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About the role
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. The role involves enabling, validating, benchmarking, optimizing, and debugging 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.
What you will do
- Enable, validate, benchmark, and optimize AI models on Intel platforms to address customer and market segment needs.
- 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.
Skills used in this role
What the employer is looking for
- 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.
- 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 2+ 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.
- Working knowledge of Git-based collaborative development and pull-request workflows.
- Basic understanding of computer architecture and operating systems.
Preferred qualifications
- Linux and/or Windows operating systems.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About intel.wd1
Intel Corporation is an industry leader in designing and manufacturing cutting-edge microprocessors, integrated circuits, and technology solutions powering global cloud, data center, edge, and client computing systems. Operating as both a product innovator and a leading-edge foundry, Intel drives the development of next-generation infrastructure, artificial intelligence, and advanced semiconductor packaging. Headquartered in Santa Clara, California, the company shapes the core technologies enabling connectivity and computation worldwide.
- Industry
- Semiconductors
- Company size
- 10001+ employees
- Founded
- 1968
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Leadership
Chief Executive Officer
Executive Vice President and Chief Financial Officer
Executive Vice President, Intel Foundry
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