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Software Engineer, EC2 Nitro
Software Engineer, EC2 Nitro at Amazon scores 20 out of 100 on AI centrality, which makes it a Level 1 role on this board.
US, WA, Seattlemidfull-time$144k-$194k
AI in this role
Build high-performance software-defined networking dataplane stacks for EC2 cloud infrastructure supporting machine learning workloads.
awsnitroec2
software-engineeringnetworkingdistributed-systemsdataplane
You will be part of the team that owns the software-defined networking dataplane stack powering EC2 across workloads such as machine learning, high-performance computing, cloud gaming, healthcare, fintech, and video streaming. Your work will directly impact millions of customers worldwide by delivering secure, scalable, highly available, and high-performance networking at massive scale.
In this role, you will own the design, implementation, testing, and delivery of networking capabilities across multiple areas. This includes performance and availability improvements for machine learning and high-performance workloads running on accelerated EC2 platforms, as well as new high-performance networking interfaces and instance capabilities for edge computing.
You will help design and build the next generation of high-performance virtualized networking capabilities for EC2. This work spans the networking dataplane, hardware and software co-design to implement novel HW offload capabilities, packet-processing optimizations to achieve high PPS and bandwidth, hardware offload capabilities, and new approaches to flow management and caching. You will solve complex systems challenges where performance, scale, availability, and correctness are all critical, while helping extend EC2 networking to support new workload types and deployment environments.
We are looking for software engineers with experience in dataplane development, systems or embedded software, cloud computing, and networking. The role offers broad technical scope and the opportunity to influence multiple platforms, solve complex distributed systems problems, and innovate across the EC2 networking stack.
You will also work alongside and learn from Principal, Senior Principal, and Distinguished Engineers across EC2, AWS, and Amazon, providing exceptional opportunities to deepen your technical expertise and accelerate your career growth.
Key job responsibilities
- Design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads.
- You set high standards for development processes, tools, and automation to enhance team productivity and quality.
- You influence best engineering practices on design and coding.
- You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team.
- Mentor junior engineers with scoping, design, and developing scalable and maintainable code.
- Collaborate with Senior/Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions.
Basic qualifications
- Bachelor's degree in computer science or equivalent
- 4+ years of non-internship professional software development experience
- 4+ years of programming with at least one software programming language experience
- 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience
- 4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience in embedded development in C/C++
- Knowledge of system performance, memory management, and parallel computing principles
Preferred qualifications
- Knowledge of machine learning model architecture and inference
- Experience in software development, or experience in Linux and Networking protocols and experience that includes strong analytical skills, attention to detail, and effective communication abilities
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Software EngineeringNetworkingDistributed SystemsDataplaneAwsNitroEc2
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where dataplane was part of your work. What did you do?
- Walk me through how you've used Aws in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, Networking, Distributed Systems, Dataplane, and Aws. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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