Amazon.com Services LLC
Direct employer career site

SDE II, ML Infra Services, Annapurna Labs

Pay
$143,700 – $194,400 per year
Location
Seattle, WA · On-site
Job type
Full-time
Level
Senior
Experience
3+ years
Education
Bachelor's degree
Listed
13 days ago

Skills & highlights for this role

  • Software development (3+ years professional, non-internship)
  • Design and architecture of new and existing systems (2+ years)
  • Design, build, operate, and manage large-scale distributed systems or web services
  • Design and development of large-scale, multi-tiered, multi-threaded, distributed software applications
  • Design patterns, reliability, and scaling

Also useful

  • Leading machine learning tool projects from architecture through multiple delivery generations
  • Deep knowledge of profiling and optimization
  • Deep knowledge of resource management, scheduling, and code generation
  • Experience with new instruction set architectures (CPU, NPU, GPU, or other compute)
  • Experience with Kubernetes and custom silicon / ML accelerators
  • Experience supporting ML scientists and training infrastructure teams

About the role

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads.

This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute.

Key job responsibilities

This engineer will lead the design and implementation of ML infrastructure platform, building systems for capacity management, workload scheduling, and fleet orchestration across ML accelerators. They will work with ML scientists, training infrastructure engineers, hardware teams, and internal customers to ensure the ML Infra service delivers seamless ML Accelerator access with low wait times, high utilization, and zero-config deployment from various environments.

A day in the life

As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also:

  • Build high-impact solutions to deliver to our large customer base.
  • Participate in design discussions, code review, and communicate with internal and external stakeholders.
  • Work cross-functionally to help drive business decisions with your technical input.
  • Work in a startup-like development environment, where you're always working on the most important stuff.

Diverse Experiences

We value diverse experiences and non-traditional career paths. If your career is just starting or includes alternative experiences, we encourage you to apply.

Inclusive Team Culture

Our employee-led affinity groups foster inclusion. Events like CORE and AmazeCon inspire us to embrace our uniqueness.

Work/Life Balance

We strive for flexibility as part of our working culture, supporting you both at work and at home.

Mentorship & Career Growth

We offer knowledge-sharing, mentorship, and one-on-one code reviews to help you grow as a professional.

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
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • Experience designing, building, operating, and managing large-scale distributed systems or web services
  • 2+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, distributed software applications, tools, systems, and services in Go, Java, or Rust
  • Experience in computer science fundamentals, including object-oriented design, data structures, algorithm design, problem solving, and complexity analysis

Preferred Qualifications

  • Experience in debugging, profiling, and implementing software engineering best practices in large-scale systems
  • Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
  • 5+ years of server-side development experience
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience leading and influencing your team or organization
  • Experience building and operating large-scale distributed systems, including on Kubernetes/EKS
  • Strong proficiency in Java or Rust and Python, and working knowledge of JavaScript/TypeScript
  • Experience in an operational role owning production services, including on-call rotation, incident response, root cause analysis, and driving fixes for availability and latency

Additional information

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Pay and benefits

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.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

About the team

  • High-impact, high-visibility: You'll directly accelerate every Neuron team's ability to ship - your work multiplies the output of 100+ engineers
  • Greenfield opportunities: We're actively building new capabilities with significant design ownership for SDEs
  • Small, senior team: where every person owns major components and drives architectural decisions
  • AI infrastructure: Work at the intersection of Kubernetes, custom silicon, and large-scale ML workloads
Read the original posting

From Amazon.com Services LLC's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.

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Common questions

What is the salary for the SDE II, ML Infra Services, Annapurna Labs role at Amazon.com Services LLC?

The SDE II, ML Infra Services, Annapurna Labs posting at Amazon.com Services LLC states compensation of $143,700 – $194,400 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Amazon.com Services LLC's official career site.

Where is the SDE II, ML Infra Services, Annapurna Labs job at Amazon.com Services LLC located?

This SDE II, ML Infra Services, Annapurna Labs position at Amazon.com Services LLC is located in Seattle, WA (On-site). Always check Amazon.com Services LLC's application page for specific state eligibility or relocation policies.

What qualifications are required for SDE II, ML Infra Services, Annapurna Labs at Amazon.com Services LLC?

For the SDE II, ML Infra Services, Annapurna Labs role, Amazon.com Services LLC highlights 3+ years of relevant experience; a bachelor's degree; experience with Software development (3+ years professional, non-internship), Design and architecture of new and existing systems (2+ years), Design, build, operate, and manage large-scale distributed systems or web services, Design and development of large-scale, multi-tiered, multi-threaded, distributed software applications, Design patterns, reliability, and scaling. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the SDE II, ML Infra Services, Annapurna Labs position at Amazon.com Services LLC?

This listing links directly to Amazon.com Services LLC's application page. You can apply directly on Amazon.com Services LLC's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.