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 edge 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 Smart Delivery Tech team, we are looking for Sr.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.


Key job responsibilities
- Design, develop, and deploy edge computing software solutions for a globally connected fleet of smart delivery vehicles, spanning both pipelines from edge IoT devices (sensors, cameras, embedded systems, wearables) to cloud-based analytics platforms
- Develop and optimize embedded software (C/C++, RTOS, Linux) for resource-constrained edge devices, including firmware for sensors, cameras, and vehicle compute modules, ensuring real-time performance, low-latency processing, and reliable operation in harsh automotive environments
- Build and optimize real-time data streaming systems for video, vehicle telematics, location tracking, and presence detection at fleet scale
- Own the full software development lifecycle from requirements gathering and system design through implementation, testing, deployment, and operational support
- Drive technical decisions on connected device protocols, data formats, and communication standards across edge-to-cloud architecture