Senior SoC Systems Software Engineer — HW/SW Co-Design

Amazon Web Services (AWS)

Austin (TX)

Sur place

USD 168 000 - 227 000

Plein temps

14 jours+
Générateur de candidature

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Résumé du poste

Annapurna Labs, the AWS division creating the world's leading custom silicon, seeks a Systems Software Engineer to bridge hardware and software across pre-silicon and live silicon. You will own SoC model components, debug hardware/software interactions, and help design interfaces to accelerate validation and deployment for massive ML workloads.

Based in Austin, TX, you will collaborate with architects, RTL, compilers, and ML teams, building tooling and automation that speed development and

Qualifications

  • 6+ years of full software development life cycle in a hardware-focused role.
  • Experience with firmware, drivers, or low-level systems software for SoCs, ASICs, GPUs, CPUs, or FPGAs.
  • Proficiency in C++, Python, and/or Rust (preference for two).
  • Knowledge of SoC architecture and micro-architecture.
  • Experience with debugging across hardware/software interfaces.

Responsabilités

  • Develop and own components of SoC models at chip and datacenter scale.
  • Debug hardware/software interactions across register-level bring-up to performance analysis on silicon.
  • Collaborate with chip architects, RTL designers, modelers, and ML framework teams to validate interfaces.
  • Contribute to hardware features by providing a software perspective early in development.
  • Build tooling, test infrastructure, and automation to accelerate team work.

Connaissances

C++
Python
Rust

Outils

QEMU

Description du poste

Annapurna Labs, the AWS division creating the world's leading custom silicon, seeks a Systems Software Engineer to bridge hardware and software across pre-silicon and live silicon. You will own SoC model components, debug hardware/software interactions, and help design interfaces to accelerate validation and deployment for massive ML workloads.

Based in Austin, TX, you will collaborate with architects, RTL, compilers, and ML teams, building tooling and automation that speed development and

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