Software Development Engineer, ML Networking Performance
Amazon.com
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across hundreds of thousands of servers worldwide. The AWS Networking team develops and operates the network platform for all of Amazon including e-commerce products and cloud computing solutions. This platform is industry-leading for its efficiency, performance, reliability and scale and it is critical to the success of all AWS customers.
Key job responsibilities
AWS Networking is looking for a Sr. Software Development Engineer to drive innovation in Machine Learning (ML) Network Performance. You will join a high impact team of senior engineers that own measuring and improving the performance of our hyperscale data center networks. You will develop metrics and performance benchmarking systems to deeply understand the performance of the ML network and you will develop and deliver innovative solutions that drive ever greater experiences for our ML customers. A successful candidate will have deep expertise with network routing, transport protocols, network hardware forwarding design and ML workloads and benchmarking. This role is a tremendous opportunity to invent and deliver game changing network solutions that directly benefit our ML customers.
About the team
You will be part of a networking team that owns AWS ML Network. We design, develop, manage and operate the ML network in AWS. You have an opportunity to shape how one of the ML largest networks on the planet is going to be operated for at least the next decade. Our engineers, managers and leaders are innovators and builders at heart; come join us and become integral to the technology company that is the past, present and future of Cloud Computing.
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.
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.
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 we strive for flexibility as part of our working 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.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon’s network is a key differentiator for Amazon Cloud Computing and Web Services (AWS), enabling the global operation of thousands of applications across hundreds of thousands of servers worldwide. The AWS Networking team develops and operates the network platform for all of Amazon including e-commerce products and cloud computing solutions. This platform is industry-leading for its efficiency, performance, reliability and scale and it is critical to the success of all AWS customers.
Key job responsibilities
AWS Networking is looking for a Sr. Software Development Engineer to drive innovation in Machine Learning (ML) Network Performance. You will join a high impact team of senior engineers that own measuring and improving the performance of our hyperscale data center networks. You will develop metrics and performance benchmarking systems to deeply understand the performance of the ML network and you will develop and deliver innovative solutions that drive ever greater experiences for our ML customers. A successful candidate will have deep expertise with network routing, transport protocols, network hardware forwarding design and ML workloads and benchmarking. This role is a tremendous opportunity to invent and deliver game changing network solutions that directly benefit our ML customers.
About the team
You will be part of a networking team that owns AWS ML Network. We design, develop, manage and operate the ML network in AWS. You have an opportunity to shape how one of the ML largest networks on the planet is going to be operated for at least the next decade. Our engineers, managers and leaders are innovators and builders at heart; come join us and become integral to the technology company that is the past, present and future of Cloud Computing.
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.
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.
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 we strive for flexibility as part of our working 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.
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