SDE - Connected Vehicles, LMDA - Connected Vehicles

The Last Mile team helps get packages from delivery stations to a customers doorstep. Our tech team is here to provide new innovations for customers; for example we are building a globally connected fleet of smart delivery vehicles both traditionally gasoline powered and future electrical powered vehicles.

Our team consists of technologists who are combining vehicle IoT technologies (sensors embedded devices wearables and robotics) realtime data streams (video vehicle telematics location and presence) together with machine learning models and algorithms to create solutions that allow us to deliver faster and better.

Key job responsibilities
Playing a key role in the Connected Vehicle team we are looking for Software Development Engineer for developing solutions to access and utilizing existing array of sensors within our current fleet of delivery vehicles; and help us design the future fleet of delivery vehicles for the next decades to come.

You will fully understand the integration from edge computing systems to cloud data analytic platform and tools. You will have understanding of user applications with UX optimization data processing pipeline with connected devices and data analytic tooling with bigdata. You will bring experience of developing similar applications at scale preferably in consumer or industrial verticals.

This role requires autonomy and an ability to deliver results often within the ambiguity of building a v1 product. You will need to work efficiently to build the right things with limited guidance raising the bar to create an amazing experience for our customers.

3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent
Expertise in computer vision machine learning and image processing.
5 years experience with LiDAR and camera sensor data.
Strong programming skills in C Python or similar languages.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.