AI Hardware Systems Engineer, Annapurna Labs, Trainium Machine Learning Fleet Operations
Amazon Web Services (AWS)
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Benefits offered by this job
Job summary
Annapurna Labs (U.S.) Inc. in Austin, TX, seeks a Platform Development Engineer to own a cloud ML server platform within the AWS fleet. You will maximize fleet health, automation, and customer experience through end-to-end testing and data-driven improvements.
The role involves debugging complex hardware/software issues, developing scalable automation, and collaborating with hardware and software teams to scale operations across global servers.
Qualifications
- 2+ years of non-internship professional software development experience.
- 1+ years of designing or architecting new and existing systems.
- 1+ years of networking, storage, operating systems and hands-on systems engineering.
- Knowledge of systems engineering fundamentals (networking, storage, OS).
- Experience with languages such as C++, C#, Java, Python, Golang, PowerShell, Ruby.
- Experience with Linux/Unix.
- Experience debugging and systems analysis to identify and mitigate issues.
- Bachelor's degree in CS, CE, or EE.
Responsibilities
- Member of a team responsible for remediation and operational excellence on ML products.
- Root cause hardware failures using data and live trends.
- Implement and improve system testing across the product lifecycle.
- Develop maintainable, well-documented, testable software.
- Dive deep on hardware-software intersection issues.
Skills
Education
Job description
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!
- 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
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 fleet — reviewing dashboards to identify trends and triaging emergent issues, then partnering with hardware and software engineering teams to debug, investigate, and translate findings into permanent fixes. You own the end-to-end testing story and manage tradeoffs between coverage and velocity. You direct new automations, tooling, and data infrastructure to scale your operations. You manage software deployments, debug issues with them, and run status meetings to align all platform stakeholders on how the product is performing.
The MLA Fleet Operations team was formed to maintain an exceptionally high quality bar for our fleet of advanced machine learning accelerators and server products. We perfect the customer experience by developing scalable software for rapid incident response times and data visualization as well as diving deep into hardware issues as they arise.
- 2+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of administrative experience in networking, storage systems, operating systems and hands‑on systems engineering experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems)
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Linux/Unix
- Experience debugging and systems analysis to identify and quickly resolve or mitigate issues
- Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering
- 4+ years of hardware design and validation of components, subsystems and systems experience
- Experience with post-silicon validation
- Master's degree in Computer Science, Computer Engineering, or Electrical Engineering
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually
Company - Annapurna Labs (U.S.) Inc.
Job ID: A10534458
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