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Software Development Engineer, ML Networking

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Amazon
Full Time position
Listed on 2025-12-14
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Software Development Engineer, ML Networking Performance

Software Development Engineer, ML Networking Performance

Job  | Amazon Data Services, Inc.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. 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.

Key job responsibilities
  • Drive innovation in Machine Learning (ML) Network Performance as a Software Development Engineer.
  • Join a high impact team of senior engineers that own measuring and improving the performance of hyperscale data center networks.
  • Develop metrics and performance benchmarking systems to deeply understand the performance of the ML network.
  • Develop and deliver innovative solutions that drive ever greater experiences for our ML customers.
  • Leverage deep expertise with network routing, transport protocols, network hardware forwarding design, and ML workloads and benchmarking.
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 Amaze Con (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.

Basic Qualifications
  • 3+ years of non‑internship professional software development experience
  • 2+ years of non‑internship design or architecture experience (design patterns, reliability and scaling) of new and existing systems
  • 1+ years of software development engineer or related occupational experience
  • 1+ years of designing and developing large‑scale, multi‑tiered, multi‑threaded, embedded or distributed software applications, tools, systems, and services using C#, C++, Java, or Perl
  • 1+…
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