6 months ago
Cupertino, CA, USASenior
Responsibilities
- Oversee SoC bring-up on emulation platforms and diagnose and resolve failing SoC and processor tests
- Develop techniques to accelerate pre-silicon validation and software development
- Support emulation environments using C/C++ DPI transactors, coverage analysis, and in-circuit emulation for high-speed protocols
- Develop software to capture debugging signals and tooling to surface insights for users
- Implement hybrid emulation environments using custom DPI-based streaming transactors
- Create configurable chip-to-chip network models using emulation-efficient primitives
- Collaborate with Design, DV, Silicon Validation, Performance, and Software teams and emulation vendors
Requirements
- Hands-on experience with emulation platforms such as Palladium, Protium, Veloce, or Zebu, including design bring-up, build flows, debugging, and performance tuning
- Strong experience with C/C++ and Linux system development
- Proficiency with SystemVerilog and Verilog, including DPI-based interfaces
- Practical experience with scripting languages such as Python for automation
- Experience with UVM verification environments is advantageous
- Background in design verification, DFT, and testbench modeling is advantageous
- Familiarity with waveform debugging tools such as Verdi or SimVision is advantageous
Benefits
- Full medical, dental, and vision coverage with 100% of premiums covered
- $2,000/month housing subsidy for employees living within walking distance of the office
- Daily lunch and dinner at the office
- Relocation support for employees moving to Cupertino
- Fully in-person work arrangement in Cupertino
About Etched
Etched designs and sells AI inference chips and servers that hard‑code support for specific model architectures. Its first ASIC, Sohu, targets transformer models to deliver high‑throughput, low‑latency inference for workloads such as real‑time generation. Founded in 2022 and headquartered in San Jose, California, the privately held company serves organizations building large‑scale AI inference clusters and infrastructure.