Role Description

In this role, you will help architect, design, and validate advanced semiconductor systems that realize the future of chip design and machine learning. You will utilize your deep expertise in System Verilog and Python to contribute directly to our product development, working alongside a cross-functional team of world-class engineers and researchers.

We’re looking for candidates who are passionate about pushing the boundaries of chip design, and excited to work at the intersection of semiconductors and AI.

Key Responsibilities

• Collaborate closely with cross-functional teams to define system specifications and deliver solutions
• Architecture and implementation of novel chip design methodologies using Agentic AI
• Contribute to the development of cutting-edge solutions that integrate machine learning capabilities

Qualifications

• 10-15 years of experience in RTL design
• Proficiency in SystemVerilog and Python languages
• Excellent written and verbal communication skills
• Comfortable working in a dynamic, research-heavy startup environment
• Demonstrated coursework or project experience in machine learning and/or deep learning
• U.S. Citizen, Permanent Resident, or valid work visa

Preferred Qualifications

• Completion of machine learning or deep learning courses through platforms such as Coursera
• Personal projects showcasing innovation, creativity, and continuous learning
• Knowledge of industry-standard communication protocols (SPI, I2C, AXI, Ethernet, PCIe, DDR5, …)
• Experience with multiple areas of chip flow (RTL design, validation, synthesis, physical design, …)
• Experience with FPGA development (Vivado, Vitis, Quartus, ACE …)

What will help you thrive

• Knowledge of open-source tools and contribution practices (Verilator, CocoTB, Yosys, …)