You will lead the analysis, adaptation, optimization, quantization, compilation, and execution of modern model architectures, including Large Language Models (LLMs), Large Vision Models (LVMs), Vision-Language Models (VLMs), and Large Multimodal Models (LMMs).
The role operates at the intersection of model architecture, machine learning algorithms, graph transformations, quantization, compiler and runtime technologies, and hardware-aware optimization. This is a hands-on leadership role.
Minimum Qualifications:• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. · Demonstrated proficiency with agentic coding tools such as Claude Code, OpenAI Codex, or equivalent tools for codebase exploration, design, implementation, testing, debugging, and code review. · User-level or