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Salary
≈ $106k – $242k per year (Estimated)
Location
In office (San Bruno)
Employment
Full-Time

First seen by Alion on Feb 13, 2026.

Overview
Company
Impact
Profile match
Embedded AI platform built upon a unique AI accelerator capable of delivering higher performance at lower latency, using less energy in smaller silicon.
As a Hardware Engineer, you will join femtoAI’s hardware team to help design and build our novel neural network accelerator. Working in a small, highly collaborative group, you will contribute directly to RTL design, microarchitecture implementation, and functional correctness of core hardware blocks. Depending on your interests and strengths, your work may emphasize RTL development, design verification, or both, with opportunities to grow into deeper specialization over time. You will also gain exposure to the broader hardware development lifecycle, including verification infrastructure and backend design considerations.

Responsibilities Design and implement RTL for components of a neural network accelerator Translate architectural specifications into efficient, maintainable hardware implementations Collaborate with hardware architects and verification engineers to ensure functional correctness and performance targets Write tests, assertions, or simple verification environments to validate your designs Contribute to improving internal hardware design and verification workflows using scripting and automation Participate in design reviews, debugging, and bring-up of new hardware blocks

Requirements The candidate must have: Proficiency in HDL languages like SystemVerilog and/or VHDL Strong foundation in digital design, computer architecture, and VLSI through coursework or projects Familiarity with ASIC or FPGA design flows Proficiency in Python for scripting and automation Strong technical communication skills and ability to collaborate across disciplines BS, MS, or PhD in Electrical Engineering, Computer Engineering, or a related field The ideal candidate will also have: Experience or coursework involving RTL design and microarchitecture Proficiency with UVM design verification frameworks Knowledge of physical design and verification Experience or coursework related to on-chip interconnects Interest in or exposure to machine learning accelerators Benefits 401(k) Medical insurance Vision insurance Dental insurance Commuter benefits Disability insurance Paid maternity leave Paid paternity leave Child care support femtoAI is an equal opportunity employer committed to a diverse workforce which strives to create an inclusive working environment empowering everyone to do their best work. We do not discriminate on the basis of race, ethnicity, religion, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.

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