Annapurna Labs

Technology

AIHardwareSystemsEngineer

$136–184k Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Hardware Systems Engineer at Annapurna Labs. Skills: ML hardware, Fleet operations, System debugging. Debug emergent problems. Write scripts”

Industry & Context.

Technology
Problems you'll solve

Root cause analysis; Debugging; Systems analysis

What They're Looking For.

Must Have

2+ years software development experience, 1+ years system design/architecture, 1+ years systems engineering experience, Systems engineering fundamentals knowledge, Experience with Linux/Unix, Experience debugging and systems analysis, Bachelor's degree in CS, CE, or EE

Nice to Have

Experience in hardware design, Experience with SOC bring-up, Master's degree

What You'll Do.

Debug emergent problems

Run large scale experiments

Develop data infrastructure

Develop automation software

Monitor machine learning hardware

Optimize machine learning hardware

Remediate machine learning hardware

Root cause hardware failures

Implement system level testing

Improve system level testing

Develop maintainable software

Develop improvable software

Develop documented software

Develop testable software

Develop reusable software

Maximize server health

Maximize server sellability

Maximize customer experience

Triage emergent issues

Partner with engineering teams

Translate findings into fixes

Own end-to-end testing

Manage testing tradeoffs

Direct new automations

Direct data infrastructure

Manage software deployments

Debug software issues

How You'll Work.

Team & Collaboration

Hardware engineering teams; Software engineering teams

Full Job Description

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. The Machine Learning Acceleration Fleet Operations Team is looking for candidates interested in diving deep into our fleet of ML servers deployed around the world. We are seeking 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, and developing automation software to scale operations. Our team has end to end ownership of some of the most advanced server hardware in the world. We drive technical debug efforts and write truly massive scale autonomous software to monitor, optimize, and remediate machine learning hardware. Come join us! Key job responsibilities - Member of a team responsible for system remediation, operational excellence, and customer experience on bleeding edge ML products - Utilize data to root cause hardware failures and identify live trends on the most complex systems in AWS - Implement and improve system level testing across the product lifecycle - Develop software which can be maintained, improved upon, documented, tested, and reused - Dive deep on issues at the intersection of hardware and software A day in the life As a Platform Development Engineer, you are the dedicated owner of an ML server platform in our fleet. Your mission is to maximize its health, sellability, and customer experience. You start each day with eyes on the fl

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