Embedded Software Engineer, SRD Annapurna Labs

DESCRIPTION

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.

Annapurna Labs, as part of AWS, is looking for an Embedded Software Engineer to join the SW group and take a major part in redefining the future of AWS cloud.
We’re 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 Amazon Web Services (AWS) infrastructure to optimize network performance. SRD powers several high-impact, cutting-edge products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of AWS network traffic.

Are you ready to join the future?

* “The Tail at AWS Scale” paper (2024): https://ieeexplore.ieee.org/document/10636119
* “A Cloud-Optimized Transport Protocol for Elastic and Scalable HPC“ paper (2020): https://ieeexplore.ieee.org/document/9167399

Key job responsibilities
As an Embedded Software Engineer on the SRD team, your primary responsibility will be to develop and optimize SRD technology across AWS’s network infrastructure. You will work on cutting-edge, 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 AWS, 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.

A day in the life
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

BASIC QUALIFICATIONS

- Bachelor’s (or higher) Degree in Computer Science (CS), Electrical Engineering (EE) or related area.
- 2+ years of experience in C development, with a mindset for developing optimized code.

PREFERRED QUALIFICATIONS

- Master’s (or higher) Degree in CS, EE with affiliation to communication
- Experience in any of the following: Data-center Networking / Network related simulators / Large-scale distributed environments / Storage protocols / Real-Time development

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