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We are looking for excellent electrical engineering graduates to join our talented Chip Design group developing Amazons next generation products for the cloud market. This is a unique opportunity where you will be be able to learn from our technical experts and team leaders about architecture definition, logic design, verification, chip bring-up and more.
In this role you will impact and see the device through its entire lifecycle from definition stage to mass production and to our datacenters.

We are looking for an experienced engineer for the Nitro cards product team. Our products include the most advanced interfaces and technologies and widely used across our data centers as backbone for Nitro and other services. The candidate will serve as expert for Nitro HW power domain - ensuring best design, integration and operational health for power domain for our Nitro cards in our data centers.

As a member of a product team you will own complex system debugs involving HW, FW and SW components. You will deal with functional and integration aspects related to complex systems focusing on the power domain related to Nitro HW. You will be involved in architecture decisions, integrations, deployments and debugging related to complex systems while also providing remote and on-site support to our global colleagues.
You will also provide leadership by driving the teams around you to raise the bar and deliver higher quality product on behalf of our customers. This is a fast-paced, intellectually challenging position, and you will work with thought leaders in multiple areas of technology. You will set high standards for yourself and everyone you work with, and will be constantly looking for ways to improve the performance, quality, cost and reliability of products and services you own. We are changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities:
- Lead triage, debug and root cause analysis of Nitro HW Power domain related issues in our systems (card / system level).
- Enhancing the ability to trouble shot issues and driving for closure of in-fleet problems.
- Analyze customers` mode of work / requirements and provide resolutions accordingly.
- Co-work with Annapurna Labs monitoring team and other root cause teams to improve quality and reliability of products operation in the fleet.
- Provide Annapurna Labs Board, ASIC and system design, SW and testing development, QA and architecture teams information and requirements from customers fleet operation perspectives and represent the customer voice.
- Drive and maintain trainings, quality documentation and collateral in order to improve in-fleet operation.
- Design and define various tools and scripts to provide support to projects and customize it as per requirement.
- Willing to travel per need few times a year.

We are looking for an Embedded Software Engineer to join the SW group and take a major part in redefining the future of our cloud.
Were searching for engineers with a passion for networking to develop SRD (Scalable Reliable Datagram). SRD is a high-performance, low-latency transport protocol used within us infrastructure to optimize network performance. SRD powers several high-impact products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of our network traffic.

As an Embedded Software Engineer on the SRD team, your primary responsibility will be to develop and optimize SRD technology across our network infrastructure. You will work on high-performance platforms that power ML, HPC, and storage-intensive workloads.
Your role will involve designing, deploying, and maintaining the SRD codebase, ensuring its reliability and scalability to meet the demands of diverse applications. You will gain in-depth knowledge of the various platforms and services running SRD within us, diving deep to understand their unique challenges and complexities.
Collaboration will be key, as you will work across multiple teams at different layers of the software stack. You will also contribute to defining new hardware modules and enabling offloads to enhance performance.