Sr. Software Engineer, EC2 Instance Networking
Company: Amazon Development Center U.S., Inc.
Location: Cupertino
Posted on: July 10, 2025
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Job Description:
Join our team building the scale-out networking backbone that
powers the world's largest AI training clusters. We're developing
high-performance RDMA and RoCE solutions that enable distributed
training of trillion-parameter models across thousands of compute
nodes on AWS infrastructure. Our team is responsible for creating
the networking software that connects massive AI accelerator
clusters, focusing on SmartNIC integration, collective
communication optimization, and ultra-high-bandwidth inter-rack
connectivity. As a senior engineer, you'll drive technical
architecture decisions and lead the development of next-generation
distributed AI training infrastructure. Key job responsibilities *
Lead the design and development of high-performance networking
software solutions utilizing RDMA and RoCE technologies for
large-scale AI clusters * Architect SmartNIC integration strategies
with EC2 control plane systems and define API specifications *
Drive optimization of collective communication patterns and
multi-rack networking protocols for distributed AI training * Lead
development of comprehensive performance monitoring, metrics
collection, and benchmarking infrastructure * Design automated
testing frameworks and stress testing methodologies for large-scale
distributed systems * Lead complex system-level debugging efforts
across hardware acceleration, kernel networking, and distributed
applications * Define technical architecture and strategy for
next-generation scale-out AI cluster networking * Provide technical
leadership and mentoring to engineering teams * Drive
cross-functional collaboration with hardware, cloud infrastructure,
and AI platform teams * Lead technical design reviews and establish
engineering best practices About the team Utility Computing (UC)
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, including support for customers who require
specialized security solutions for customers who require
specialized security solutions for their cloud services. Our team
is dedicated to supporting new members. We have a broad mix of
experience levels and tenures, and we’re building an environment
that celebrates knowledge-sharing and mentorship. Our senior
members enjoy one-on-one mentoring and thorough, but kind, code
reviews. We care about your career growth and strive to assign
projects that help our team members develop your engineering
expertise so you feel empowered to take on more complex tasks in
the future. Diverse Experiences AWS values diverse experiences.
Even if you do not meet all of the 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. About 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 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 (diversity) conferences,
inspire us to never stop embracing our uniqueness. 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. 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. BASIC
QUALIFICATIONS - Experience as a mentor, tech lead or leading an
engineering team - 5 years of non-internship professional software
development experience - 5 years of programming with at least one
software programming language experience - 5 years of leading
design or architecture (design patterns, reliability and scaling)
of new and existing systems experience - 5 years of programming
experience in C/C++ with focus on high-performance distributed
systems - 5 years of leading design or architecture of large-scale
networked systems - Deep expertise in RDMA technologies, RoCE
implementations, and high-performance networking - Extensive
experience with collective communication libraries (NCCL, RCCL,
OneCCL, MPI) - Experience as a technical lead or leading
engineering teams on complex infrastructure projects PREFERRED
QUALIFICATIONS - 5 years of full software development life cycle,
including coding standards, code reviews, source control
management, build processes, testing, and operations experience -
Expert-level experience with SmartNIC programming and network
acceleration hardware APIs - Deep knowledge of AI training
infrastructure, cluster networking, and scale-out communication
patterns - Proven track record of performance optimization and
system-level debugging in distributed environments - Experience
with cloud infrastructure integration, virtualization, and
large-scale system deployment - Understanding of modern AI
accelerator architectures and multi-rack cluster design -
Experience building and optimizing systems for trillion-parameter
model training workloads - Track record of delivering complex
technical projects in high-performance computing environments -
Strong communication and technical leadership skills - Master's
degree in Computer Science, Computer Engineering, or related field
- Experience with AWS cloud infrastructure and large-scale
distributed system operations Amazon is an equal opportunity
employer and does not discriminate on the basis of protected
veteran status, disability, or other legally protected status. Los
Angeles County applicants: Job duties for this position include:
work safely and cooperatively with other employees, supervisors,
and staff; adhere to standards of excellence despite stressful
conditions; communicate effectively and respectfully with
employees, supervisors, and staff to ensure exceptional customer
service; and follow all federal, state, and local laws and Company
policies. Criminal history may have a direct, adverse, and negative
relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well
as the abilities to adhere to company policies, exercise sound
judgment, effectively manage stress and work safely and
respectfully with others, exhibit trustworthiness and
professionalism, and safeguard business operations and the
Company’s reputation. Pursuant to the Los Angeles County Fair
Chance Ordinance, we will consider for employment qualified
applicants with arrest and conviction records. 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. Our compensation reflects
the cost of labor across several US geographic markets. The base
pay for this position ranges from $151,300/year in our lowest
geographic market up to $261,500/year in our highest geographic
market. Pay is based on a number of factors including market
location and may vary depending on job-related knowledge, skills,
and experience. Amazon is a total compensation company. Dependent
on the position offered, equity, sign-on payments, and other forms
of compensation may be provided as part of a total compensation
package, in addition to a full range of medical, financial, and/or
other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This
position will remain posted until filled. Applicants should apply
via our internal or external career site.
Keywords: Amazon Development Center U.S., Inc., Pleasanton , Sr. Software Engineer, EC2 Instance Networking, IT / Software / Systems , Cupertino, California