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Amazon
Cupertino, CA
Source: Amazon careers · View original posting
From Amazon's posting. “We” and “our” refer to the employer.
AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the trn* and inf* servers that use them. This position is for a Software Engineer that will lead the development of various services that will aid in optimization, analysis and release of machine learning workloads and artifacts.
This candidate must have had experience leading distributed systems and machine learning related projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of optimization, resource management, scheduling are needed. The ideal candidate will have experience working on services like EC2, EKS, Lambda in AWS or similar services on other cloud providers.
Key job responsibilities
This engineer will lead the design and implementation of new tools, pipelines and automation, will work with developers, system architects, hardware engineers and users both within and external to Amazon to ensure compatibility of this new toolset with existing and next-generation AI accelerators.
Design, implement, and maintain CI/CD pipelines to automate the software release process.
Collaborate with development teams to integrate new software releases.
Manage and automate infrastructure provisioning.
Ensure high availability and scalability of systems through effective infrastructure management.
Implement monitoring solutions to track system performance. Identify bottlenecks and optimize system performance.
Implement security best practices in the DevOps pipeline. Conduct regular vulnerability assessments and risk management.
The Neuron Infra Services team fosters a builder’s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews.
We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems, or experience debugging, profiling, and implementing best software engineering practices in large-scale systems
Experience with AWS or cloud technologies
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, CA, Cupertino - 165,200.00 - 223,600.00 USD annually
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