AI Model Optimization Engineer

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

Annual salary: $149,750–$275,580 USD for roles performed in the United States.

Company

hirify.global develops computing technologies and AI solutions across software and hardware platforms.

What you will do

• Enable, validate, benchmark, and optimize AI models on hirify.global hardware platforms.
• Analyze model performance and identify opportunities for profiling and optimization.
• Debug issues across AI frameworks, software stacks, and hardware platforms.
• Develop and execute tests for model functionality, accuracy, and performance.
• Collaborate with software, hardware, compiler, and architecture teams to solve technical challenges.
• Contribute code, bug fixes, documentation, test coverage, and open-source work while mentoring junior engineers.

Requirements

• Bachelor’s degree in computer science, computer engineering, electrical engineering, artificial hirify.globalligence, machine learning, or a related technical discipline with 3+ years of hands-on experience, or a relevant 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 collaborate with globally distributed engineering teams and communicate complex technical concepts clearly.

Nice to have

• Linux or Windows experience and Git-based software development workflows.
• Experience with GenAI models, including LLM, VLM, or VLA models, or OpenVINO.
• Knowledge of parallel programming, preferably SYCL or OpenCL.
• AI research publications or open-source software contributions.

Culture & Benefits

• Hybrid work model combining on-site and off-site work.
• Health, retirement, and vacation benefits for employees and their families.
• Competitive pay, stock bonuses, and a comprehensive compensation package.
• Collaboration with engineering teams across the AI software and hardware stack.