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 Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture. Take part in the development of cutting-edge products within a disruptive system architecture. You’ll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the world’s largest cloud provider. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities

In this role, you will play a pivotal role in redefining the future of AWS Cloud, elevating Machine Learning services and supercomputing capabilities, and deploying our transport network protocol, SRD, across the largest public cloud on the planet. The ideal candidate is an experienced Software Development Manager with a proven track record of leading fast-paced engineering teams in dynamic environments. This person should possess a strong technical background, hands-on skills, excellent communication abilities, and solid people management skills to effectively lead and develop a talented and experienced engineering team. Daily responsibilities include: identifying and defining project requirements, designing and implementing large-scale complex systems in a fast-paced environment, solving problems and managing high levels of ambiguity, deploying new features to the cloud and providing operational support and monitoring, conducting performance profiling and analysis and collaborating with hardware engineers to define next-generation solutions.

A day in the life

-- Diverse Experiences --

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

-- 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.

-- 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.

-- Inclusive Team Culture --

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

-- Mentorship and 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.

About The Team

The Scalable Reliable Datagram (SRD) team develops a proprietary network transport protocol designed for AWS's network fabric. SRD reduces latency, increases bandwidth, and optimizes user workloads within AWS. It is the default transport protocol for Elastic Fabric Adapter (EFA) and serves as a fundamental building block for AWS's Machine Learning (ML) and High-Performance Computing (HPC) platforms. SRD is also extensively utilized in the Elastic Block Store (EBS) service and Elastic Network Adapter Express (ENA-Express). To learn more about SRD, please visit the following links:

• Recent paper on SRD "A Cloud-Optimized Transport Protocol for Elastic and Scalable HPC": https://ieeexplore.ieee.org/document/9167399
• Peter DeSantis talking about re:inventing HPC infrastructure using EFA & SRD (re:invent 2019): https://www.youtube.com/watch?v=GPUWATKe15E&feature=youtu.be&t=228
• Prarthana Karmakar and Marc Olson talking about EBS and SRD (re:invent 2021): https://www.youtube.com/watch?v=kaWzAEVZ6k8
• Peter DeSantis talking about ENA-Express & SRD (re:invent 2022): https://www.youtube.com/watch?v=R11YgBEZzqE&t=620s&ab_channel=AWSEvents
• Dave Brown talking about Network Congestion and ENA-Express & SRD (re:invent 2022): https://www.youtube.com/watch?v=aHClvCQfuPs&t=1394s&ab_channel=AWSEvents
  
  

Basic Qualifications

• Bachelor’s (or higher) Degree in Computer Science or Electrical Engineering
• 6+ years of professional experience in software development and complex systems
• 3+ years of professional experience in engineering team management
• Experience partnering with product and program management teams
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
• Team player, highly motivated, hands-on, independent and fast learner, willing to work in a dynamic and demanding environment in complex systems
• Experience with at least one of the following: (1) Networking and/or storage protocols, (2) Real-Time development and/or Device-Drivers, (3) Kernel development and/or Kernel-bypass user-space applications
  
  

Preferred Qualifications

• Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• Experience with SW/HW interactions and HW offloads
• Experience with Machine-Learning environments and Collectives Operations
• Experience with High-Performance-Computing and large systems
• Experience with Large-scale distributed environments
• Experience with discreet event simulators
  
  
  

Company - Annapurna Labs Ltd.

Job ID: A2710079