AI Vision Research Engineer Graduate (Pico) - 2027 Start (PhD)

About Team: The EE Platform team focuses on silicon and EE architecture for AR/VR platforms to optimize the system power, latency and performance. The team innovates on customized silicon solutions for imaging, display and connectivity with HW/SW co-optimization.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.

The ideal candidate has a solid foundation in image processing, computational photography, computer vision, or machine learning, together with strong curiosity and the ability to quickly explore emerging technical areas. They should be able to identify relevant research, define clear technical goals and validation methods, and rapidly translate promising ideas into working prototypes through hands-on experimentation.

In this role, you will work with PICO's AR/XR hardware platforms to collect real-world data, develop imaging and multimodal features, and use AI-assisted and agentic engineering workflows to accelerate algorithm development and iteration.

Responsibilities:

• Innovate and develop a power-efficient, low-latency, highly-intelligent machine perception vision system in a VR/AR product.
• Develop necessary training, data collection/generation pipeline along with state of art ML algorithm/framework for understanding of the scene and user behaviors.
• Map the ML algorithm to the HW accelerator, identify performance bottleneck, optimize performance and efficiency, propose more efficient HW/SW co-design for AI accelerator.
• Collaborate with the x-functions team and translate system requirements into a proper cloud-edge workload partition and edge ML accelerator HW/SW requirement.
• Perform quantitative evaluations through the use of system modeling, FPGA prototyping for validating ideas and architecture options.Minimum Qualifications
• Individuals who are completing or have recently completed PhD degree in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline.
• Experience in research experience in the fields of ML algorithm or AI accelerator design
• Experience with programming tools and languages such as C/C++, MATLAB, Python.

Preferred Qualifications

• Familiar with appropriate ML frameworks.
• Good communication skills, open minded and enthusiastic about new technologies