Design Engineer (AI)

TL;DR

Design Engineer (AI): Building and validating novel neuromorphic silicon architectures for physical AI systems with an accent on RTL design, FPGA prototyping, and asynchronous design methodologies. Focus on defining the next wave of AI technology by optimizing performance, hardware-software integration, and validating complex silicon designs.

Location: Hybrid role; must be based in the US (Hillsboro, Folsom, Santa Clara, Austin, or Phoenix)

Salary: $164,470–$269,100

Company

A global leader in semiconductor design and manufacturing, creating technology that empowers digital lives and solves complex global challenges.

What you will do

• Model, prototype, and document new features for neuromorphic product KPIs.
• Evaluate design tradeoffs in partnership with architects and algorithm researchers.
• Collaborate with verification engineers to debug test failures and identify RTL bugs.
• Enable application-level pre-silicon verification for hardware components.
• Accelerate software development lifecycles by working closely with system software developers.
• Contribute to silicon team initiatives across design levels and methodologies.

Requirements

• Bachelor’s with 5+ years or Master’s with 3+ years in Computer Science, Electrical/Computer Engineering, or a related field.
• 3+ years of experience in ASIC designs or FPGA prototyping platforms.
• 3+ years of proficiency in System Verilog and C/C++.
• Must be based in the United States and eligible to work on-site at hirify.global locations as required by the hybrid model.

Nice to have

• Experience with pre-silicon customer enablement on FPGA platforms.
• Familiarity with large-scale FPGA platforms like HAPS or emulation frameworks like ZeBu.
• Openness to learning new technologies and methodologies such as asynchronous design.

Culture & Benefits

• Comprehensive compensation package including competitive pay and stock bonuses.
• Benefit programs covering health, retirement, and paid time off.
• Hybrid work model allowing for time split between on-site and off-site work.
• Collaboration with a global ecosystem of researchers and top-tier engineering talent.
• Commitment to inclusive work culture and professional development.