Senior Analog/Mixed Signal Engineer

Company: Extropic
Location: Boston, MA (hybrid, 3 days in office)
Compensation: $160,000 - $300,000 + competitive equity
Employment Type: Full-time
Visa Sponsorship: Visa transfers and new sponsorship (H-1B, TN)

Extropic is building thermodynamic computing, a new compute paradigm that uses thermal noise in CMOS devices to perform probabilistic computation with radical power efficiency (potentially 10,000x savings over traditional approaches). Its founders, former Google Quantum Computing researchers, spent years fighting thermal noise before realizing they could harness it.

Founded in 2022, Extropic has about 30 people, has taped out its third chip (Z1) and is defining the architecture for three more. It has raised a $14.1M seed.

Extropic is hiring a Senior Analog/Mixed Signal Engineer (3-5 years) to design and implement critical circuit building blocks for its thermodynamic computing chips. The team just taped out its third chip, a 250,000 p-bit fabric, and is defining three more. You will work across analog, mixed-signal and probabilistic circuit domains in a fast-moving startup where everyone gets hands-on.

• Design analog and mixed-signal blocks: ADCs, PLLs, bandgaps, regulators, oscillators, high-speed dividers and SerDes.
• Own block-level design across chips, from architecture and schematic through layout and tape-out verification (DRC, ERC, LVS).
• Do hands-on layout and comprehensive Cadence simulation (PEX, Monte Carlo, corner analysis).
• Support lab testing and validation of mixed-signal circuits.
• Work across IC, systems, physics and algorithms teams to take thermodynamic sampling units from concept to silicon.

• 3-5 years of analog/mixed-signal IC design
• Block-level design through tape-out
• Cadence Virtuoso layout and simulation (PEX, Monte Carlo, corners)
• CMOS process experience (FinFET, 28nm, 65nm)
• Lab validation skills
• Ability to work hybrid 3 days a week in Boston

Cadence Virtuoso, CMOS (FinFET, 28nm, 65nm), PEX, Monte Carlo simulation, corner analysis, Python, C