About the role
What will you do at Amazon?
Do you want to shape the future of virtualized (SDN) networking in the world’s
biggest public cloud?
The Amazon Elastic Compute Cloud (EC2) VPC Packet Pipeline team owns the packet
pipeline that runs right beneath all our customer's EC2 VPC instances, adding
features like firewalling (security groups), billing and monitoring as we touch
every single packet on every single host across our massive worldwide fleet. Our
vision is to combine the performance of bare metal networking while maintaining
all the benefits of the cloud, including delivering features not possible on
bare metal i.e. true Software Defined Networking (SDN).
We are seeking an Embedded Software Development Engineer II (C/C++) to join our
EC2 Nitro Fairness team, where you'll help ensure equitable resource allocation
in our multi-tenant cloud infrastructure while maintaining the single-tenant
experience customers expect. In this role, you'll develop sophisticated
algorithms and systems that intelligently manage shared compute, memory,
and network resources across diverse customer workloads. You'll design and
implement sophisticated fairness algorithms, real-time resource schedulers, and
performance isolation systems that operate at microsecond latencies across
millions of concurrent EC2 instances within the Nitro hypervisor. This position
requires deep understanding of virtualization technologies, distributed systems,
and performance optimization, as you'll be directly impacting how millions of
EC2 instances share underlying hardware while appearing completely isolated to
end users. You'll collaborate closely with hardware teams, hypervisor engineers,
and service owners to implement fairness policies that balance resource
utilization efficiency with strict performance guarantees.
Key job responsibilities
Technical Leadership & Development:
• Lead architecture decisions for fairness algorithms and resource allocation
systems within the Nitro hypervisor
• Mentor junior engineers on low-level C/Rust programming and embedded system
development practices
• Conduct design and code reviews for performance-critical fairness mechanisms
• Drive implementation of resource isolation and scheduling policies in embedded
Nitro environments
Performance Analysis & Optimization:
• Analyze customer workload patterns to identify fairness violations and noisy
neighbor scenarios
• Design and implement hardware-aware fairness algorithms leveraging CPU cache
locality, memory bandwidth, and network resources
• Collaborate with hardware engineering teams to optimize packet-pipeline
software and hardware offloads for equitable resource sharing
• Set and achieve fairness performance goals for new instance types and Nitro
hardware generations
Cross-Team Collaboration & Strategy:
• Partner with hardware/firmware teams on co-designing fairness enforcements
• Collaborate with other engineering vertical teams to ensure fairness features
integrate seamlessly across the stack
• Communicate fairness requirements and technical designs to senior management
and product teams
• Evaluate emerging technologies for ML-based instance types and their impact on
resource fairness
System Design & Implementation:
• Develop real-time fairness monitoring and enforcement systems operating at
microsecond latencies
• Implement dynamic resource allocation policies that adapt to changing workload
characteristics
• Design telemetry and observability systems to measure and validate fairness
across multi-tenant environments Basic
Qualifications
- - 3+ years of
- non-internship professional software development experience
- - 2+ years of non-internship design or architecture (design patterns,
- reliability and scaling) of new and existing systems experience
- - Experience programming with at least one software programming language
- - Experience in embedded development in C/C++
Preferred Qualifications
- - 3+
- years of full software development life cycle, including coding standards, code
- reviews, source control management, build processes, testing, and operations
- experience
- - Bachelor's degree in computer science or equivalent
- - 2+ years of embedded firmware development experience
- 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
- [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
- [https://amazon.jobs/en/benefits].
- USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
Orchestration Workload Engineer - ACE - AI Factory
Roche · Kaiseraugst, Aargau, Switzerland
AI Solutions Engineer
Superior Essex · Sandy Springs, Georgia, United States
Automation Engineer, CGIC & BD AI Automation
Quantum Sky · Reston, Virginia, United States
AI Solutions Engineer
Vantage Bank · Fort Worth, Texas, United States
AI Workflow Engineer
Scout Motors Inc. · Charlotte, North Carolina, United States
Role information can change. Confirm current details on the original application page.
