SDE II: Silicon Scan & Fleet Diagnostics ML Accelerators

Amazon Inc.

Austin (TX)

On-site

USD 144,000 - 194,000

Full time

34 hours ago
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Benefits offered by this job

Health insurance (medical, dental, and

Job summary

Annapurna Labs, AWS unit, is seeking a Software Development Engineer II to join the Silicon Scan & Fleet Diagnostics team. You will own and evolve software that accelerates structural scan tests across a large ML accelerator fleet and build production-grade tools from architecture to deployment.

You will mentor junior engineers, contribute to data analytics dashboards, and collaborate with teams that validate tests at scale, while coding for low-level hardware interactions and high-level

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of design or architecture (design patterns, reliability and scaling) of new and existing systems.
  • Experience programming with at least one software programming language.

Responsibilities

  • Own and evolve the software that speeds up structural scan (DFT) test execution across a large fleet of ML accelerator servers.
  • Design and deliver improvements to tools and workflows used to bring new scan test patterns to production, from architecture through deployment.
  • Build data analytics and dashboards that track test pattern execution across the fleet.
  • Automate silicon debug and large-scale investigation workflows.
  • Partner with teams that run and validate scan testing at scale, turning their needs into maintainable, tested, reusable software.
  • Mentor early-career engineers and raise the bar through design discussions and code reviews.

Skills

Software development
System design
Embedded development

Education

Bachelor's degree in Computer Science or equivalent

Tools

C/C++

Job description

Annapurna Labs, AWS unit, is seeking a Software Development Engineer II to join the Silicon Scan & Fleet Diagnostics team. You will own and evolve software that accelerates structural scan tests across a large ML accelerator fleet and build production-grade tools from architecture to deployment.

You will mentor junior engineers, contribute to data analytics dashboards, and collaborate with teams that validate tests at scale, while coding for low-level hardware interactions and high-level

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