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.
- Experience with FPGA development flows and scripting (Python, Perl, Tcl, Shell, etc.) is an advantage.
- Experience in IP integration at chip or subsystem level.
- Hands-on board-level debugging experience using oscilloscope, power supply, multimeter, and current probes.
- Experience with simulation tools such as ModelSim or equivalent industry-standard simulators.
- Familiarity with Git, Jira, and standard version control/project tracking tools.