AI Research Engineer

Position: Staff AI Research Engineer
Developing creative solutions with consideration of practical challenges on device An ideal candidate will have: A solid intellectual and cognitive ability, motivation, a strong history of achievement, and an ability to synthesize knowledge from a variety of sources. A strong mathematics foundation (theory and applied), numerical computing background, programming and engineering skills, as well as excellent oral and written communication skills.

A firm mathematics background, as well as a strong knowledge of advanced algorithms. A passion for Computer Science research and application. The flexibility to move among diverse sets of research topics. Research experience, including publication history - AI R&D preferred. Background and understanding of the mathematical foundations of deep learning Strong programming / engineering skills (experience with version control, Github, etc) Experience in LLM efficiency research such as efficient attention, inference acceleration, or KV cache compression Experience in LLM reasoning or inference acceleration research

Experience with vision-based AI problem space Experience in on-device AI deployment on mobile or edge devices Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ 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 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.