Software - Optical Imaging Engineer, Advanced Manufacturing Engineering (AME)

Amazon.com Inc

Sunnyvale, CA

JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Artificial Intelligence (AI), Automation, C Programming Language, C++ Programming Language, Image Editors, Manufacturing, Manufacturing Automation, Manufacturing Engineering, Manufacturing Systems, Manufacturing/Production Testing, Microsoft C# (C Sharp), Optical Engineering, Parametric Testing, Programming Languages, Python Programming/Scripting Language, Software Development, Software Engineering, Software Testing, Test Automation, Testing, Validation Testing
LOCATION
Sunnyvale, CA
POSTED
2 days ago

Amazon"s Devices Advanced Manufacturing Engineering (AME) team is seeking a Senior Software Development Engineer who will lead Optical AI & Algorithm development and integration into automated manufacturing systems.

This role includes Image analysis algorithm development, AI/ML, and automation development work for deployment in automated manufacturing test systems. This role focuses on software development for camera testing including camera parametric measurements, calibrations, cosmetic inspections, and automation.

Key job responsibilities

In this role, you will:

  • Innovate, design, and develop Optical algorithms and AI/ML solutions that scale.
  • This involves coding in one of the key programming languages (C#, C, C++, Python) and developing image analysis algorithms, and AI/ML models for optical system parametric measurements, defect detection, and cosmetic inspections.

A day in the life

As a Senior Software Development Engineer, you will be responsible for driving world-class manufacturing solutions leveraging algorithms, AI/ML, and automation (robots) to create solutions for camera test and validation, cosmetic inspections, component defect detection, and robot/automation. You will be driving development working alongside team members and 3rd party integrators as the main interface owning the design, implementation, and deployment of manufacturing automation solutions.

About the team

The team is responsible for implementing solutions for camera testing, cosmetic inspections, assembly defect detection, and leveraging AI/ML to improve detection accuracy.

Internal job description

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles