Machine Learning Engineer - PICO Perception - San Jose

About team

We are the Engineering Architecture team of the PICO-Interactive Perception R&D Department. We are responsible for the architecture design and engineering implementation in the Interactive Perception Department. We focus on exploring the low-power consumption deployment of AI models, strive for excellence and aim to become an international team with leading technology.

Responsibilities

- Be responsible for the optimization and deployment of AI algorithms based on Qualcomm chips, and improve the performance of algorithms on the Qualcomm platform.

- Keep regular communication with Qualcomm, closely follow the development trends of Qualcomm chip technology, and provide forward-looking technical suggestions for projects.

- Follow up on the latest development of XR business and promote the development and evolution of low-power edge devices.

- Continuously pay attention to the new technological trends and research results in the industry, and share excellent practices in the industry.

- Promote the development of the AI toolchain and the construction of the technical ecosystem, and be responsible for the software and hardware collaborative design of the AI training system.

Minimum Qualifications:

- Bachelor's degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.

- 5+ years experience in Python or C++

- In-depth understanding of Qualcomm or other AI chip architecture , including its principles and performance characteristics.

- Proven experience in optimizing AI algorithms for performance and efficiency.

Preferred Qualifications:

- Hands-on experience with XR/VR devices and related technologies.

- Familiarity with AI heterogeneous computing architecture, common AI chip architectures, and AI compiler solutions.

- Strong communication skills with the ability to conduct professional technical discussions with Qualcomm’s R&D team.

- Demonstrated innovation skills with a proactive approach to exploring new AI technologies and application scenarios.