Jobs
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Professional development budget
•Flexible work arrangements
•Team events and activities
•Equity
•Healthcare
•Learning
•Flexible Hours
Required Skills
Python
React
PostgreSQL
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.
Basic Qualifications
- Bachelor’s (or higher) Degree in Computer Science (CS), Electrical Engineering (EE) or related area.
- 5+ years of professional experience in C development, with a mindset for developing optimized code.
Preferred Qualifications
- Multi-core / multi-threaded coding experience
- Hands-on experience developing Firmware and/or user space drivers for embedded systems / Hands-on experience developing in a Linux environment
- Hands-on experience with low-level SW development and HW devices
- Experience with real-time performance profiling and optimization
- Experience with networking protocols
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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About Amazon

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
Employees
Seattle
Headquarters
Reviews
2.9
10 reviews
Work Life Balance
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Compensation
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Flexible scheduling options
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Limited growth and promotion opportunities
High stress and demanding work environment
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2 data points
L2
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Stock
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Difficulty
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Duration
21-35 weeks
Offer Rate
20%
Experience
Positive 10%
Neutral 10%
Negative 80%
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Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
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Onsite/Virtual Loop
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Team Matching
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Leadership Principles
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