About Ayo
Ayo is a venture-backed early-stage startup that will radically redefine how humanity performs compute for AI. Our photonic processors will provide orders of magnitude improvement in speed and power efficiency in comparison to conventional digital compute platforms by taking advantage of the natural parallelism, speed and energy efficiency of light.
The Role
We are looking for an FPGA Engineer to join our hardware team. You will write and deploy code to FPGAs that are central to our chip development and verification workflow. This is hands-on work with real hardware - you will move fast, own your work end to end, and collaborate closely with our AI and hardware teams to keep our prototype development moving.
This is a fully onsite role based in Boston.
What You'll Do
Design, implement, and test FPGA-based systems that support our chip verification and prototype development pipeline.
Deploy and iterate on RTL code (Verilog or VHDL) targeting FPGAs in our prototype hardware.
Deploy and iterate on embedded C/C++ code targeting embedded processors on FPGA system-on-chips
Work closely with ASIC engineers to build test benches to test ASICs and to bring up and test prototypes of our computing systems..
Support the hardware team by performing FPGA trade studies and assessing the viability of proposed pin mappings on developmental circuit card assemblies
Support bring-up and test of new printed circuit boards and prototypes by writing and testing interfaces to peripherals such as ADCs, DACs, memory, etc.
Contribute to upgrading and scaling our existing FPGA infrastructure as we grow.
What We're Looking For
RTL proficiency required - Verilog or VHDL. This is the foundation of the role.
Real industry FPGA experience - we want to see that you have deployed code to real hardware, not just completed academic coursework projects.
Familiarity with major FPGA platforms - Xilinx/AMD experience is preferred; Lattice or Intel/Altera is also fine.
Embedded systems experience is a plus - ADC/DAC interfaces, working with real-world signals.
Any exposure to ASIC verification workflows is a bonus - if you've sat next to a chip design and used FPGAs to validate it, we want to hear about it.
Undergraduate or Master's degree - a PhD is not required. We care about what you've built, not the credential.
Why Ayo
You'll be the first FPGA engineer on the team - your work will directly shape how we validate our chips and build our prototypes.
We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform.
Early-stage means real ownership, real impact, and meaningful equity.
Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision.
Fully onsite in Boston - we are a collaborative, in-person team.
Skills Required
- RTL proficiency in Verilog or VHDL
- Real industry FPGA experience
- Familiarity with major FPGA platforms (Xilinx/AMD preferred)
- Embedded systems experience is a plus
- Undergraduate or Master's degree
Ayo Seminconductor Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ayo Seminconductor and has not been reviewed or approved by Ayo Seminconductor.
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Equity Value & Accessibility — Job postings describe competitive salary plus equity aligned with stage and seniority, and highlight meaningful ownership and impact for early team members. Early‑hire framing (being among the first employees) indicates tangible equity participation alongside cash compensation.
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Healthcare Strength — Some materials reference health, dental, and vision coverage being included, indicating core medical benefits are available. Although specifics are not published, this points to baseline healthcare support in the package.
Ayo Seminconductor Insights
What We Do
Ayo is a venture-backed early-stage startup that will radically re-define how humanity performs compute for AI. Our photonic processors will provide orders of magnitude improvement in speed and power efficiency in comparison to conventional digital compute platforms by taking advantage of the natural parallelism, speed and energy efficiency of light.
