Remote ASIC Design Engineer for AI Inference Accelerators

Tensordyne

Sunnyvale (CA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Flexible spending
Bonusly awards
Health benefits
Financial security

Job summary

Tensordyne, a Sunnyvale-based AI ASIC startup, seeks an experienced ASIC design engineer to drive microarchitecture and RTL implementation for a high-performance CNN accelerator ASIC. You will integrate CPU and IP blocks, collaborate with physical design, and support timing closure at high frequencies.

The role requires 3+ years in ASIC design with Verilog/SystemVerilog, knowledge of ARM/RISC-V/MIPS architectures, memory hierarchy, and AMBA protocols. A BS/MS in EE/CE is preferred.

Qualifications

  • 3+ years of ASIC design experience with RTL in multi-million gate ASICs.
  • Experience in IP integration, particularly CPU IP into SoC.
  • Knowledge of ARM/RISC-V/MIPS architectures and AMBA protocols.
  • Familiarity with UPF-based power intent and timing closure.

Responsibilities

  • Author/understand micro-architecture specs and participate in test plans.
  • Integrate CPU and other IPs into the CPU sub-system.
  • Collaborate with physical design to resolve timing issues and optimize power.
  • Perform diagnostic tests and assist software bring-up in the lab.

Skills

ASIC design
RTL design
Verilog/SystemVerilog
IP integration
ARM/RISC-V/MIPS
Timing closure
Power-aware design

Education

Electrical or Computer Engineering - BS/MS

Tools

EDA toolchain
Place-and-route tools

Job description

Tensordyne, a Sunnyvale-based AI ASIC startup, seeks an experienced ASIC design engineer to drive microarchitecture and RTL implementation for a high-performance CNN accelerator ASIC. You will integrate CPU and IP blocks, collaborate with physical design, and support timing closure at high frequencies.

The role requires 3+ years in ASIC design with Verilog/SystemVerilog, knowledge of ARM/RISC-V/MIPS architectures, memory hierarchy, and AMBA protocols. A BS/MS in EE/CE is preferred.

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