AI Vision Research Scientist Intern - Global Tech Research Program - 2027 Start (PhD)

Team Introduction: 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 us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Topic Content: The rapid advancement of AI Agents is set to have a far-reaching and transformative impact on daily life. As the hardware bridge linking AI Agents to the physical world and end users, intelligent hardware acts as a vital gateway for agents to perceive their environment and recognize user intent. Enabling AI Agents to maintain round‑the‑clock environmental awareness and efficiently capture real‑time user intentions is essential to improving their everyday service experience. This topic seeks to overcome the limitations of conventional visual perception systems. By deeply integrating sensing and computing, it explores full‑stack innovation spanning from low‑level hardware to high‑level algorithms. Key efforts include developing next‑generation sensors with real‑time understanding capabilities, investigating non‑traditional visual capture and compression techniques, and designing novel hardware architectures to run advanced algorithms-enabling highly efficient coordination across sensing, processing, and communication.

Topic Challenge: Break free from the framework of conventional sensing systems, explore novel sensors, signal processing and compression schemes to achieve highly energy-efficient sensing tasks, while enabling seamless integration with large models.

Topic Value: Breakthroughs in this research direction will enable intelligent hardware to better connect AI, users, and daily life. Against the backdrop of the AI Agent era, this will unlock the gateway to the next generation of intelligent hardware terminals and open up broader technological possibilities.

Responsibilities:

• Innovate and develop a power-efficient, low-latency, highly-intelligent all-day machine perception vision system.
• 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 cutting edge 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 and influence sensor, soc and software co-design.Minimum Qualifications
• Currently Pursuing PhD in the fields of Electrical Engineering, Computer Science, Physics and related technical discipline.
• Experience in research in the fields of computer vision, edge ML perception algorithm and/or related AI accelerator design.
• Experience with programming tools and languages such as C/C++, MATLAB, Python.

Preferred Qualifications

• Familiar with appropriate ML frameworks and model deployment.
• Familiar with image sensor and isp
• Good track record on top-tier conference or journal publication