Amazon
AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS
$144K–$224K
Austin, TX +1 · Full-time · Posted Mar 27, 2026
- Location
- Austin, TX
Cupertino, CA - Experience
- 2+ years writing functional or performance models of hardware; preferred: 2+ years of full software development life cycle experience.
About the job
Build and validate C++ functional and performance models of AI accelerator SoCs to support chip design, verification, and architectural exploration.
What you'll do
- Develop and maintain high-fidelity models of accelerator and SoC subsystems, translating architecture specifications and RTL behavior into testable models.
- Validate models against RTL simulations, emulation, or silicon measurements and integrate them into pre-silicon verification flows.
- Collaborate across architecture, design, verification, software, and compiler teams to assess design tradeoffs and improve modeling tools and infrastructure.
What they ask for
- Experience programming in languages such as C/C++, Python, Java, or Perl.
- 2+ years writing functional or performance models of hardware such as SoCs, ASICs, GPUs, CPUs, or IP blocks.
- Familiarity with SoC, CPU, GPU, and/or ASIC architecture and micro-architecture.
Nice to have
- Experience with SystemC or TLM-based modeling, RTL correlation, or performance modeling.
- Familiarity with Modern C++ (20 and beyond), PyTest, GoogleTest, or multi-threaded simulation.
Pay
165,200.00 - 223,600.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary)
Tools
C/C++, Python, Java, Perl, SystemC, TLM, Modern C++ (20 and beyond), PyTest
AI focus
Model AI/ML accelerator SoCs and contribute to performance modeling and architectural exploration; no ML background is needed.
Model-written summary · the original posting is authoritative