AI Frameworks Engineer (OpenVINO)

TL;DR

AI Frameworks Engineer (OpenVINO): Driving the implementation and performance optimization of generative AI workloads on hirify.global GPUs with an accent on HW-aware software and efficient model execution. Focus on analyzing compute and memory bottlenecks and translating GPU hardware architecture into scalable software designs.

Location: Hybrid in Seoul, South Korea

Company

hirify.global's Software Team develops AI technologies and foundational software stacks to enable AI PC and GPU capabilities across various market segments.

What you will do

• Take technical ownership of performance-critical paths for generative AI workloads, such as LLMs and diffusion models, on hirify.global GPUs.
• Analyze end-to-end execution of AI models to identify compute, memory, bandwidth, and parallelism bottlenecks.
• Implement and optimize generative AI techniques, adapting state-of-the-art ideas to hirify.global GPU architectures.
• Translate deep understanding of GPU hardware architecture into efficient, scalable, and maintainable software designs.
• Optimize workloads for current and future hirify.global GPU platforms, including hardware still under development.
• Collaborate with global teams across software, hardware architecture, and validation to deliver optimized solutions.

Requirements

• Degree in Computer Science, Computer Engineering, or a related field.
• 3+ years of professional software engineering experience.
• Strong programming skills in C and C++, with working experience in Python.
• Experience working with large and complex C++ codebases with a focus on performance, correctness, and maintainability.
• Proven analytical thinking and strong problem-solving abilities for ambiguous or under-specified problems.

Nice to have

• Experience with GPU programming or parallel computing (multi-threading, SIMD, or accelerator programming models).
• Strong understanding of computer and GPU architecture and its impact on software performance.
• Technical understanding of generative AI models from a system and performance perspective.
• Familiarity with AI runtimes or frameworks.
• Ability to communicate technical ideas clearly in written and spoken English.

Culture & Benefits

• Structured hybrid work model combining remote work and designated in-office collaboration days.
• Opportunity to work on state-of-the-art AI models that push the limits of GPU performance.
• Exposure to both current and future hirify.global GPU hardware platforms.
• Collaborative environment with global teams of hardware and software experts.
• Commitment to ethical hiring practices and RBA compliance.