Drimva

Amazon

Principal and Senior Principal Engineer, AWS Compute and ML Services

$200K–$311K

Seattle, WA +5 · Principal · Full-time · Posted Sep 30, 2026

Location
Seattle, WA
Arlington, VA
Santa Clara, CA
New York, NY
Herndon, VA
Cupertino, CA
Experience
10+ years required; preferred qualification states 15–25+ years of deep hands-on technical expertise.

About the job

Leads the architecture and delivery of AWS compute and machine-learning infrastructure, setting technical direction for large-scale systems across hardware, software, security, and customer-facing services.

What you'll do

  • Own architecture and hands-on delivery of critical systems, making end-to-end decisions across hardware interfaces and customer APIs.
  • Lead cross-organization initiatives, shape technical vision and roadmaps, and mentor senior engineers.
  • At Senior Principal level, set multi-year direction and drive architectural transformations across AWS Compute and ML Services.

What they ask for

  • 10+ years of non-internship professional software development experience.
  • Experience owning technical architecture and end-to-end delivery, and partnering with senior leadership.
  • Track record of leading multiple concurrent technical initiatives and driving lasting decisions.
  • Experience influencing across organizational boundaries without positional authority.

Nice to have

  • 15–25+ years of deep hands-on technical expertise in complex distributed systems.
  • Experience with large-scale systems programming, virtualization, operating systems, performance engineering, or hardware-software co-design.

Pay

230,100.00 - 311,200.00 USD annually (base salary), Cupertino; 230,100.00 - 311,200.00 USD annually (base salary), Santa Clara; 220,100.00 - 297,700.00 USD annually (base salary), New York; 200,100.00 - 270,600.00 USD annually (base salary), Arlington; 200,100.00 - 270,600.00 USD annually (base salary), Herndon; 200,100.00 - 270,600.00 USD annually (base salary), Seattle

Tools

EC2 (Elastic Compute Cloud), SageMaker, Bedrock, PCI

AI focus

Architects and leads AI/ML infrastructure, including platforms for generative AI at scale, AI model marketplaces, and infrastructure for large training and inference workloads.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)