AI Hardware/Chip Design Engineer Salary.

AI Hardware/Chip Design Engineer Compensation

National median, base vs total comp, 2023-2026

The national median AI Hardware/Chip Design Engineer salary is $208,000 in 2026. Most earn between $155,000 (25th percentile) and $275,000 (75th percentile). Where you land depends on your experience, skills, the company's size, and your location.

Entry level AI Hardware/Chip Design Engineers (0 to 2 years) typically earn $135,000 to $166,000. Mid level (3 to 5 years) run $177,000 to $218,000. Senior (6 to 9 years) reach $229,000 to $270,000, and lead level (10 plus years) $260,000 to $322,000.

Anchor your ask near the 75th percentile of $275,000 so you have room to settle around the $208,000 median. Bring specific data about your impact, and never accept the first number without a conversation.

Pay reflects deep expertise in ASIC or FPGA design optimized for neural network inference. Engineers with tape-out experience and knowledge of transformer-specific architectures command top compensation. Geographic concentration in Silicon Valley and Austin inflates salaries 10% to 20% above national averages.

Entry-level chip design engineers start near $155,000 on verification and testing. Mid-level engineers owning functional blocks earn $200,000 to $230,000. Principal architects defining next-generation AI accelerator microarchitectures reach $275,000 to $350,000 at leading firms.

Equity at AI chip startups can represent 30% to 50% of total compensation. RSU grants at established semiconductor firms vest over four years, with annual refreshers adding $50,000 to $100,000 in value.