14 days ago
Base Salary
$165k - $224k/yr
Responsibilities
- Develop innovative solutions to support large language model training across clusters of nodes.
- Build and maintain a performant, resilient, fully managed service for large-scale foundation-model training.
- Optimize distributed training by profiling bottlenecks and improving compute, network, and compute/communication performance.
- Own delivery of complete system components and serve as technical lead for complex projects.
- Drive system architecture and engineering best practices throughout the full development lifecycle.
- Collaborate with ML scientists, customers, internal engineering teams, technology companies, and the open-source community.
- Hire and mentor junior development engineers.
Requirements
- 1+ years of non-internship professional software development experience.
- Experience programming in at least one software programming language.
- Experience with multi-threaded asynchronous C++ or Go development.
- Experience with resource orchestrators and Kubernetes.
- Experience with high-performance computing, scalable systems, and large language model training.
- Preferred: bachelor's degree in computer science or equivalent.
Benefits
- Comprehensive benefits including medical, dental, vision, prescription, life and AD&D insurance, an employee assistance program, mental health support, a medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units are included in the Amazon package.
- The team offers flexibility in working hours and emphasizes work-life balance.
- The team provides mentorship, knowledge sharing, and ongoing learning opportunities.
- The position is located in Santa Clara, California.
Tech Stack
Categories
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.