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 building high-performance, HW-aware software. Focus on efficient execution of AI models on current and future hirify.global GPU architectures, spanning AI models, runtime systems, and GPU hardware.

Location: Hybrid work model with designated in-office days each week in Seoul, South Korea.

Company

hirify.global drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services.

What you will do

• Take technical ownership of performance-critical paths for generative AI workloads 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 efficiently run on hirify.global GPU architectures.
• Translate deep understanding of GPU hardware architecture into efficient, scalable, and maintainable software designs.
• Optimize workloads for both current and future hirify.global GPU platforms, including hardware that is still under development.
• Collaborate with global teams across software, hardware architecture, and validation to deliver optimized solutions.

Requirements

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

Nice to have

• Experience with GPU programming or parallel computing, such as multi-threading, SIMD, or accelerator programming models.
• Strong understanding of computer and GPU architecture, and how hardware characteristics impact software performance.
• Technical understanding of generative AI models from a system and performance perspective.
• Familiarity with AI runtimes or frameworks.
• Solid foundation in computer science fundamentals, including data structures, algorithms, and operating systems.
• Ability to communicate technical ideas clearly in written and spoken English

Culture & Benefits

• Hybrid work model with a mix of remote work and in-office collaboration.
• Opportunity to work on state-of-the-art AI models that push the limits of GPU performance.
• Work directly impacts real-world AI performance experienced by developers and customers.