We are seeking a passionate and skilled AI Hardware Engineer to join our team in developing next-generation AI acceleration technologies. This role focuses on cutting-edge AI architectures, including Convolutional Neural Networks (CNNs) and Generative AI (GenAI), and offers the opportunity to contribute to state-of-the-art AI engine design. Your work will directly impact real-world AI applications across industries.

Responsibilities

• Design and develop high-performance AI Accelerator Engines, including implementation of specific neural network layers.
• Develop demonstration platforms and reference designs for customer engagements, roadshows, and evaluations.
• Develop high-quality RTL code (Verilog/SystemVerilog preferred) and ensure design robustness through linting, clock domain crossing (CDC) checks, and design verification processes.
• Continuously optimize AI accelerator performance, power, and efficiency.
• Provide technical support for internal teams and external customers regarding AI accelerator-related inquiries and issues.
• Perform power and thermal characterization measurements.
• Debug hardware-related issues using tools such as Efinity Debugger, oscilloscope, multimeter, and current probes.

Qualifications

• Bachelor’s or Master’s degree in Electronic Engineering, Computer Engineering, or equivalent.
• 3 years+ of experience in FPGA product or IP development.
• Strong RTL design experience using Verilog, SystemVerilog, or VHDL.
• Familiarity with embedded software development on RISC-V processors is a plus.
• Solid understanding of frontend design methodologies and digital design principles.