The Software Development Engineer II will design, build, and maintain cloud-based repair and recovery workflows for Trainium UltraServers, orchestrating repair and recovery operations from impairment detection through completed recovery. This role requires expertise in AWS services, system architecture, and cross-functional collaboration with Capacity Management, Hardware Engineering, and Datacenter Operations to manage AI/ML infrastructure.
Key job responsibilities
- Design and develop innovative technologies that power the infrastructure supporting AI workloads on Ultraservers
- Lead technical projects establishing EC2 as the pioneer in cloud computing for AI/ML workloads across diverse applications including LLMs, multimodal systems, and emerging model architectures.
- Collaborate with various teams to influence architecture of provisioning systems and improve to operate at scale and efficiently.
- Build customer relationships by investigating complex performance challenges, developing solutions, and publishing actionable best practices through multiple channels.
A day in the life
This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement.
About the team
The EC2 UltraServer Availability team is a high-performing engineering organization responsible for maintaining high availability of NVIDIA-based ML infrastructure at scale. We manage end-to-end repair and recovery workflows for Trainium UltraServers, from initial problem detection through repair and recovery. Our team drives operational excellence through continuous improvement of problem detection, repair efficacy, and customer impact mitigation. We work closely with hardware engineering, data center operations, and EC2 service teams to ensure reliable, efficient recovery of critical ML compute capacity. This is a high-impact role leading a two-pizza team of talented engineers solving complex technical challenges in one of Amazon's fastest-growing infrastructure domains.
