AI Model Optimization Engineer

Location: Hybrid role based at an assigned Intel site in Santa Clara, California, United States, with time split between on-site and off-site work.

Annual salary: $149,750–$275,580 USD

Company

Intel develops computing technologies and AI solutions spanning software, hardware, compilers, and architecture.

What you will do

• Enable, validate, benchmark, and optimize AI models on Intel hardware platforms.
• Analyze model performance and identify opportunities to improve efficiency, scalability, and accuracy.
• Debug issues across AI frameworks, software stacks, and hardware platforms.
• Develop and execute tests covering model functionality, accuracy, and performance.
• Collaborate with software, hardware, compiler, architecture, and product teams.
• Contribute code, bug fixes, documentation, test coverage, and mentorship to internal and open-source projects.

Requirements

• Bachelor’s degree in computer science, computer engineering, electrical engineering, artificial intelligence, machine learning, or a related technical discipline with 3+ years of relevant hands-on experience, or a master’s degree with 1+ years of experience.
• Programming experience in Python and/or C++.
• Experience with machine learning or deep learning frameworks such as PyTorch or TensorFlow.
• Experience with performance analysis, profiling, and optimization.
• Ability to work effectively with globally distributed engineering teams.

Nice to have

• Experience with Linux and/or Windows, Git-based development workflows, GenAI models, OpenVINO, parallel programming, SYCL, or OpenCL.
• Publications or contributions to AI research and open-source software projects.

Culture & Benefits

• Hybrid work model combining on-site and off-site work.
• Health, retirement, and vacation benefits.
• Competitive pay and stock bonuses.
• Collaboration with globally distributed engineering teams across the AI software and hardware stack.