Applied AI Software Engineer - Life Sciences Flexible Hours

Amazon Inc.; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. in Seattle, WA is seeking a Software Development Engineer for Life Sciences Applied AI. You will design scalable distributed systems and contribute to end-to-end AI products, delivering impact for customers and partners.

The role requires 3+ years of professional software development, strong programming skills, and knowledge of ML frameworks (JAX, PyTorch, TensorRT). We emphasize ownership and engineering excellence at scale.

Qualifications

• 3+ years of professional software development experience (non-internship).
• Experience programming with at least one programming language.
• Knowledge of computer architecture, operating systems and parallel computing.
• Experience with modern software engineering practices across the SDLC.

Responsibilities

• Collaborate to conceive, design, and bring innovative products to market.
• Design and build technologies in a large distributed environment.
• Create solutions to run predictions on distributed systems at scale.
• Build scalable storage index and query systems.
• Design and code solutions from broadly defined problems.
• Work in an agile environment to deliver high-quality software.

Skills

3+ years of non-internship software开发

Experience programming in at least one

Knowledge of computer architecture, OS

Software engineering & SDLC practices

Education

Bachelor's degree in computer science or equivalent

Tools

JAX

PyTorch

TensorRT

Job description

Amazon Development Center U.S., Inc. in Seattle, WA is seeking a Software Development Engineer for Life Sciences Applied AI. You will design scalable distributed systems and contribute to end-to-end AI products, delivering impact for customers and partners.

The role requires 3+ years of professional software development, strong programming skills, and knowledge of ML frameworks (JAX, PyTorch, TensorRT). We emphasize ownership and engineering excellence at scale.