Drimva

Amazon

Software Development Engineer, Amazon Optics

$144K–$214K

New York, NY +2 · Full-time · Posted Sep 11, 2026

Location
New York, NY
Annapolis Junction, MD
Herndon, VA
Experience
3+ years professional software development; 2+ years design or architecture; 1+ years large-scale software development.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Build and operate computer vision and machine learning systems that automate real-time physical security decisions across AWS locations.

What you'll do

  • Deploy and maintain ML models and production inference pipelines, including training infrastructure, serving, monitoring, and iteration.
  • Design low-latency, reliable distributed systems and computer vision pipelines for threat detection; maintain Infrastructure as Code.
  • Collaborate with scientists and cross-functional teams on architecture, operations, code reviews, and model improvement.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience involving design patterns, reliability, and scaling.
  • Experience with Machine Learning and Large Language Model fundamentals, including model architecture, training/inference lifecycles, and optimization.
  • 1+ years designing and developing large-scale software applications or systems using C#, C++, Java, or Perl; Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

Nice to have

  • 3+ years of full software development life cycle experience.
  • Bachelor's degree in computer science or equivalent.

Pay

143,700.00 - 194,400.00 USD annually (base salary); 158,100.00 - 213,800.00 USD annually (base salary); 143,700.00 - 194,400.00 USD annually (base salary)

Tools

C#, C++, Java, Perl, Infrastructure as Code (IaC)

AI focus

Build and deploy computer vision and machine learning models for automated security decisions; operationalize research into inference pipelines and manage model training, serving, monitoring, retraining, and iteration. Requirements also include Machine Learning and Large Language Model fundamentals.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)