Embedded SDE (Cameras, Comp Vision, LiDAR, Motion Planning), Last Mile Delivery Technology

The Last Mile team helps get packages from delivery stations to a customer’s 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 cutting edge vehicle IoT technologies (sensors, embedded devices, wearables, and robotics), real-time 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.

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 big-data. 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.

Basic Qualifications

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

Preferred Qualifications

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

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.