Company hidden

10 дней назад

AI Model Optimization Engineer

Формат работы

hybrid

Тип работы

fulltime

Грейд

middle

Английский

Страна

Malaysia

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

AI Model Optimization Engineer (AI/Machine Learning): Enabling, validating, benchmarking, and optimizing AI models across Intel hardware platforms with an accent on performance analysis, framework integration, and hardware acceleration. Focus on profiling models, debugging issues across software and hardware stacks, and developing tests that ensure accuracy, functionality, and performance.

Location: Penang, Malaysia; hybrid work model with time split between the assigned Intel site and off-site work.

Company

hirify.global is presented in the posting header, while the role description references Intel and its AI hardware platforms.

What you will do

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 covering model functionality, accuracy, and performance.
Collaborate with software, hardware, compiler, architecture, and product teams to solve technical challenges.
Contribute code, bug fixes, documentation, and test coverage to internal and open-source projects, using AI-assisted development tools to improve productivity.

Requirements

Bachelor's degree in 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 a Master's degree in the same fields with 2+ 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.
Experience with Linux and/or Windows operating systems.
Experience with Git-based software development workflows.

Nice to have

Experience with GenAI models, including LLM, VLM, or VLA, or with OpenVINO.
Understanding of parallel programming, preferably with SYCL or OpenCL experience.
Previous publications or contributions to AI research.
Familiarity with OpenVINO or other AI inference frameworks.
Experience contributing to open-source software projects.

Culture & Benefits

Collaboration across globally distributed engineering teams and diverse perspectives.
Work across software, hardware, architecture, and product teams.
Benefits package for employees and their families.
Hybrid work model combining on-site and off-site work.
Fast-paced environment with evolving priorities and technologies.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →