Senior Software Engineer - Full-Stack

April 3, 2023

C++

Computer Vision

IoT

Python

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Logo of Skyways

Skyways

aerospace engineering β€’ automation β€’ UAV β€’ transportation β€’ ai

2 - 10

Description

β€’ Build software that allows robots to fly (and land) β€’ Take ownership of core software-related projects at Skyways β€’ Invent, design new systems and go through design review process β€’ Reason about your decisions based on data (experiments, math/science) β€’ Maintain a clean codebase by doing code reviews, writing tests, utilizing CI β€’ Promote software engineering best practices, and develop processes for the long term β€’ Ship software to production (i.e. our aircraft but also network-based applications), systems integration, and be an SRE β€’ Work with flight ops to test your software and iterate/improve at an insane speed

Requirements

β€’ BSc. or MSc. degree in Computer Science / Software engineering is required β€’ Minimum 7 years of experience as a software engineer (C++ / multi-threaded code, Python or similar scripting language, web based technologies) β€’ 7+ years of coding production software in C++ and knowledge of object-oriented concepts β€’ 3+ years of experience with algorithm and software optimization β€’ Background in Full-stack Development, Software Architecture, IoT Systems, or other experience in architecture, designing or developing complex systems or solutions be highly independent, but also open minded to learn more about our field (your code will fly, it's a big deal) β€’ A generalist and able to work throughout the stack, we code from low-level to UI and we need someone with capabilities to design and code solutions and features β€’ Bonus points if you have EE knowledge β€’ Bonus points for experience in Computer Vision, AI/ML and automation β€’ Bonus points if you have experience with software running onboard a vehicle/robot β€’ Bonus points if you have experience with flight controls / control theory

Benefits

β€’ Working on a transportation revolution β€’ Fast-paced startup environment β€’ Opportunity to work with autonomous unmanned aerial vehicles

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