Amazon
Software Development Engineer, OneMHS
$144K–$194K
Boston, MA +1 · Full-time · Posted Oct 28, 2026
- Location
- Boston, MA
Bellevue, WA - Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years software development engineer or related occupational experience; 1+ years specified application development and Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Build and scale edge machine-learning, equipment-monitoring, and computer-vision capabilities across Amazon fulfillment centers, spanning embedded systems and cloud platforms.
What you'll do
- Develop edge deployment workflows for the internal ML experimentation platform and maintain camera-fleet services, telemetry, and OEE data pipelines.
- Collaborate with hardware, operations, applied science, and external partners to define, build, test, and ship capabilities.
- Mentor junior engineers and contribute to the team’s engineering culture.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience, including design patterns, reliability, and scaling.
- 1+ years of experience designing and developing large-scale, multi-tiered, multi-threaded, embedded, or distributed applications using C#, C++, Java, or Perl; and 1+ years of Object Oriented Design experience.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming language.
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); 143,700.00 - 194,400.00 USD annually (base salary)
Tools
C#, C++, Java, Perl, embedded Linux
AI focus
Develop edge machine-learning and computer-vision capabilities, including ML experimentation and deployment workflows, inference pipelines, and AI applications for material handling systems.
Model-written summary · the original posting is authoritative