- Salary
- $150k – $300k/yr
- Location
- San Francisco, California, US
- Type
- Full-time
- Department
- Engineering
- Source
- Y Combinator
Description
At Zetta, we're building the next NVIDIA to accelerate AI discovery. Our XPU chips are state-of-the-art AI compute engines, versatile and efficient enough to support AGI, and eventually ASI, without requiring massive power infrastructure.
We're a small founding team of engineers obsessed with pushing the boundaries of compute, and we're looking for the person who will own our chip design: from FPGA prototypes today to real silicon tapeouts tomorrow.
You Are
- Scrappy. You'd rather have a design running on hardware this week than a perfect spec next quarter
- Ready to go all-in and do the work of your life
- A technical powerhouse who loves living at the hardware-software boundary
- Hungry to own a chip end-to-end: architecture, RTL, verification, bring-up
- Deeply passionate and obsessed with computing and AI
- Someone who doesn't fret when faced with near-impossible technical challenges
Your Background (important in bold)
- Background in Electrical Engineering, Computer Engineering, or you taught yourself and can prove it
- Strong digital design fundamentals (RTL, pipelining, clocking/reset strategy, latency vs. throughput tradeoffs, clean microarchitecture)
- Hands-on FPGA experience: you've taken real designs from RTL to running on a board (Xilinx/AMD or Intel/Altera), debugged timing failures at 2am, and shipped something that worked
- Synthesizable SystemVerilog/Verilog you're proud of: side projects, university work, open-source contributions, or professional experience all count
- Toolchain fluency: simulation (Verilator, VCS/Xcelium/Questa, or open-source flows), linting, synthesis, timing constraints (SDC), and iterating toward timing closure
- RTL quality instincts (assertions, CDC awareness, X-prop, code review hygiene, or the drive to build these habits fast)
- Build/flow automation (Python, Tcl, bonus points for Nix or Makefile wizardry)
- Comfort designing compute datapaths and memory subsystems: you understand bandwidth/latency-driven design even if you haven't shipped an AI accelerator yet
Huge Plus If
- Tapeout experience: university shuttle (Tiny Tapeout, MPW, Efabless), research chip, or professional. Any real silicon counts, and if you haven't taped out yet, this role is your path to it
- FPGA prototyping of large designs (partitioning, multi-FPGA, emulation-style flows)
- HW/SW bring-up experience (drivers/firmware, performance counters, profiling, debugging across the stack)
- High-speed interface/IP integration (PCIe, DDR/HBM, Ethernet, SerDes)
- Verification depth (UVM, formal, or cocotb-style Python testbenches)
- Systems programming (Linux kernel modules, low-level software)
- Autodidactic polymath with a strong mathematical background
What You'll Actually Do
- Own the FPGA prototype of our XPU architecture: get it running, keep it running, make it fast
- Write and review the RTL that becomes our first ASIC
- Drive us to tapeout by building the design flow (lint, sim, synthesis, constraints) that gets us to real silicon
- Work across architecture, verification, and physical design to hit PPA targets
- Make critical architectural decisions that will live in silicon for years
The Opportunity
- Be one of the first employees shaping a revolutionary technology
- Go from FPGA prototype to your name on a tapeout. Few roles anywhere offer that arc this early in a career
- Work directly with the founding team at our San Francisco HQ
- Grow into the technical leader of our chip team as we scale
- Highly competitive compensation + significant equity
This is THE chance to do the work of your life. The chance to put your architecture into real silicon. To go hardcore on a technical moonshot that will actually matter for over 100 to 1,000 years.