Platform Development Engineer, Annapurna Labs, Machine Learning Fleet Operations - Austin

Only for registered members Austin, United States

4 hours ago

Default job background
Full time $136,000 - $184,000 (USD)

Job summary

We are looking for an engineer who is comfortable debugging emergent problems in GPU and server hardware writing scripts in languages such as Python or Bash running large scale experiments on a fleet of complex hardware developing data infrastructure and analyzing trends developing automation software to scale operations

Responsibilities

  • Member of a team responsible for system remediation operational excellence customer experience on bleeding edge ML products
  • Utilize data to root cause hardware failures identify live trends on most complex systems AWS
  • Implement improve system level testing across product lifecycle
  • Dive deep issues at intersection hardware software

    Benefits

    The base salary range for this position listed below Your Amazon package will include sign-on payments restricted stock units RSUs Final compensation will determined based factors including experience qualifications location Amazon offers comprehensive benefits health insurance medical dental vision prescription Basic Life AD D insurance option Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption Surrogacy Reimbursement coverage 401k matching paid time off parental leave Learn more about our benefits

    A day life As Platform Development Engineer you dedicated owner ML server platform fleet mission maximize its health sellability customer experience You start each day eyes fleet reviewing dashboards identify trends triaging emergent issues partnering with engineering teams debug investigate translate findings permanent fixes You own end-to-end testing story manage tradeoffs between coverage velocity Direct new automations tooling data infrastructure scale operations Manage software deployments debug them run status meetings align all stakeholders how product performing About team MLA Fleet Operations team formed maintain exceptionally high quality bar fleet advanced machine learning accelerators server products Perfect customer experience developing scalable software rapid incident response times data visualization diving deep into hardware issue arise Basic Qualifications years noninternship professional development administrative networking storage operating handson systems engineering knowledge fundamentals Experience programming modern language C C Java Python Golang PowerShell Ruby Experience LinuxUnix Preferred Qualifications building services AWS Amazon equal opportunity employer discriminate based protected veteran disability other legally protected status Our inclusive culture empowers deliver best results customers If country region applying listed contact Recruiting Partner The base salary range position listed below Your Amazon package will include sign-on payments restricted stock units RSUs Final compensation will determined based factors including experience qualifications location Learn more about our benefits


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