About The Position

AWS's Trainium and Inferentia chips power the world's largest machine learning clusters. Our team builds C++ models of these custom SoCs that RTL designers, verification engineers, and software teams depend on throughout the silicon development lifecycle. We're looking for a modeling engineer to build and own models that directly impact how our chips are designed, verified, and brought to production.

Requirements

  • 6+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience as a mentor, tech lead or leading an engineering team
  • 6+ years writing functional or performance models of hardware (SoCs, ASICs, GPUs, CPUs, IP blocks)
  • Experience programming in C++, using advanced language features
  • Knowledge of SoC, CPU, GPU, and/or ASIC architecture and micro-architecture
  • Have built functional or performance models of SoCs, ASICs, GPUs, CPUs, or IP blocks
  • Are comfortable working with architectural / design specifications or reference implementations and translating them into C++ or SystemC models
  • Understand verification concepts and have worked with DV teams or in pre-silicon validation environments
  • Care about model fidelity and have experience correlating models against RTL or silicon
  • Are interested in expanding into architectural performance modeling as the team grows
  • Enjoy working on a small, high-impact team where you own significant pieces of the stack

Nice To Haves

  • Experience working with DV teams or integrating models into verification flows
  • Experience correlating functional models against RTL simulation, emulation, or silicon
  • Experience developing and calibrating performance models for custom silicon
  • Experience with SystemC, TLM, or cycle-approximate modeling methodologies
  • Experience building regression and CI frameworks for model validation
  • Familiarity with Modern C++ (20 and beyond)
  • Experience with multi-threaded or distributed simulation
  • ML accelerator architecture knowledge (a plus, not required)

Responsibilities

  • Build and own models of SoC subsystems — translating architecture specs and RTL behavior into accurate, testable C++ models
  • Work directly with RTL design and verification teams to validate model behavior against RTL, debug discrepancies, and support pre-silicon verification flows
  • Develop model-based test infrastructure: regression suites, RTL correlation checks, and coverage-driven testing
  • Contribute to performance modeling efforts — building cycle-approximate models that help architects evaluate design trade-offs before RTL exists
  • Improve modeling methodology and infrastructure: how models are structured, integrated, tested, and released to DV and architecture teams
  • Collaborate with chip architects to understand upcoming designs and plan modeling work ahead of RTL availability

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
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