Hardware Engineer

femtoAI•San Bruno, CA

139d

About The Position

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.

Requirements

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

Nice To Haves

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

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