Emulation Engineer, Hardware Prototyping (HAPS)
Etched · San Jose
Infrastructureonsite$150k–$350k
At a glance
Highlights
- Own full-chip prototype bring-up from RTL to firmware boot end to end.
- Build self-service flows that let software users run images without support.
- Instrument deep trace across partitions and surface debug insights usefully.
What they offer
- Medical, dental, and vision packages with generous premium coverage
- $500 per month credit for waiving medical benefits
- Housing subsidy of $2,500 per month for those living within walking distance of the office
- Relocation support for those moving to San Jose (Santana Row)
- Various wellness benefits covering fitness, mental health, and more
- Daily lunch and dinner in our office
- Unlimited compute budget subject to ROI justification
Ideal candidate
A hands-on prototyper who loves bring-up, unblocking firmware and software teams, and chasing ambiguous failures across boundaries.
Requirements
- Hands-on FPGA prototyping experience — HAPS, Protium, proFPGA, S2C, or similar — covering partitioning, synthesis, timing closure, bring-up, and debug
- Strong SystemVerilog and Verilog, with working understanding of what synthesizes well for FPGA
- Solid C/C++ and Linux system development
- Scripting fluency for automation — Python, TCL, shell
- Comfort debugging failures you didn't cause, in code you didn't write, for users who need an answer today
- Experience with ProtoCompiler, Vivado, or Synopsys prototyping flows
- Firmware, driver, or bootloader bring-up experience on pre-silicon platforms
- Experience with emulation platforms (ZeBu, Palladium, Veloce) alongside prototyping
- UVM verification environments, DFT, and testbench modeling
- Waveform debug tooling: Verdi, SimVision
- Cluster and job scheduling experience (SLURM), CI systems
- remote policy
- fully in-person
Lab profile
About Etched
Building specialized AI chips and systems for frontier inference with best-in-class throughput and latency.
What they build
- Sohu AI inference chip
- AI racks and hardware systems
- Inference software stack
Known for
- Full-stack co-design of chips, racks, software and manufacturing
- Best-in-class throughput and latency for prefill and decode
- Inference-optimized architecture
Key facts
- Backed by hundreds of millions from top-tier investors
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