Are you inspired by invention? Is problem solving through teamwork in your DNA?
Do you like the idea of seeing how your work impacts the bigger picture? Answer
yes to any of these and you’ll fit right in here at Amazon Robotics. We are a
smart team of doers that work passionately to apply state of the art advances in
robotics and software to solve real-world problems that will transform our
customers’ experiences in ways we can’t even imagine yet. We invent new
improvements every day. We are Amazon Robotics and we will give you the tools
and support you need to invent with us in ways that are rewarding, fulfilling
and fun.
Amazon Robotics seeks a Senior SDE to lead development machine learning and
computer vision based software technologies. This role provides ample
opportunity to influence, innovate and shape the next generation of robotics
tech. You will have opportunities to work collaboratively with other software
and hardware teams in Amazon Robotics and across Amazon. Joining this team
enables you to be on the forefront of new product development and technology
that improves our systems and the experience for our customers around the globe.
Key job responsibilities
As a Sr. SDE in the Scanless Technologies organization at Amazon Robotics, you
will:
- Develop computer vision applications that run at the edge and in the cloud.
You will leverage state of the art CV techniques at the edge and AWS ML
technologies
- Partner with other engaged, friendly, principles-first thinking oriented
engineers to understand customer use cases and implement core engineering
capabilities for Amazon's enormous fulfillment network.
- Operate across multiple layers of the stack to design and build fault-tolerant
production software that optimize our fleet of fulfillment infrastructure and
robots.
- Participate in software architecture and design reviews.
- Develop tools to test and analyze complex systems, including those deployed in
production at customer sites, and dig into critical pieces of distributed
systems like logging, tracing, metrics.
- Hire and mentor other engineers on the team.
A day in the life
Amazon offers a full range of benefits that support you and eligible family
members, including domestic partners. Benefits can vary by location, the number
of regularly scheduled hours you work, length of employment, and job status such
as seasonal or temporary employment. The benefits that generally apply to
regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you
exactly, we'd still love to hear from you! At Amazon, we value people with
unique backgrounds, experiences, and skillsets. If you’re passionate about this
role and want to make an impact on a global scale, please apply!
Amazon Robotics is developing state of the art technologies that will forever
change the way products and packages are identified, all by using Computer
Vision, Machine Learning. We envision a time when manual item identification
(typically barcode scanning) is a vestige of the past. You will be a technical
guide for the development of new components and cross-functional programs
requiring the work of multiple engineers and scientists. Partner with Applied
Scientists to prototype and develop Machine Learning applications that deliver
on this vision.
Come join with us in developing pioneering applications in a highly exciting and
innovative environment where your solutions will impact tens of thousands of
users for every minute of their working day!
About the team
As a software development engineer (SDE) on the Amazon Robotics Scanless
Technologies team, you will be a technical guide and contributor to an exciting,
diverse team that is responsible for developing and deploying full-stack
software systems using AWS that are scalable, reliable and performant, is
obsessed over its customers at its core and its solutions impact thousands of
users for every minute of their working day! AI (Machine Learning, Data Science,
etc.) is at the core of everything this team builds. Our solutions are deployed
at the Edge and in the Cloud at scale!
