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Robotics Software Developer

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April 29, 2024 4 minute read

Robotics Software Developers work at the forefront of technology, creating innovative solutions that are changing the world. They are responsible for designing, implementing, and maintaining software for robots, which can be used in a variety of applications, from manufacturing and healthcare to security and space exploration. Robotics Software Developers must have a strong understanding of computer science, mathematics, and robotics. They must also be able to work independently and as part of a team and have excellent problem-solving skills.

Education and Training

The minimum educational requirement for Robotics Software Developers is a bachelor's degree in computer science, software engineering, robotics, or a related field. However, many employers prefer candidates with a master's degree or higher. In addition to their formal education, Robotics Software Developers must also have experience in programming and software development.

Skills and Knowledge

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Salaries for Robotics Software Developer

City
Median
New York
$176,000
San Francisco
$200,000
Austin
$182,000
See all salaries
City
Median
New York
$176,000
San Francisco
$200,000
Austin
$182,000
Toronto
$164,000
London
£97,000
Paris
€61,000
Berlin
€90,000
Tel Aviv
₪500,000
Singapore
S$139,000
Beijing
¥248,000
Shanghai
¥660,000
Bengalaru
₹484,000
Delhi
₹900,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We haven't picked any books for this reading list yet.
A detailed reference book covering the entire field of robotics, perfect for students who want to learn about everything from robot design to robot applications.
An undergraduate textbook that covers robot kinematics, dynamics, trajectory planning, and control, perfect for students new to the field.
A comprehensive book on probabilistic robotics that covers topics such as robot localization, mapping, and planning. The book is written by some of the leading researchers in the field, making it an excellent resource for anyone interested in learning about the latest developments in probabilistic robotics.
The go-to book for students who want to learn more about robot motion planning algorithms. It provides a detailed overview of various motion planning techniques and is suitable for advanced undergraduates and graduates.
For those who can read Japanese, this book provides a comprehensive overview of robotics, covering topics such as robot kinematics, dynamics, and control. It is written in Japanese and offers a great resource for students and researchers alike.
Suitable for advanced students, this book explores the cutting-edge topic of deep learning in robotics. It covers topics like deep reinforcement learning and deep imitation learning, and suitable for students with a foundational understanding of robotics and deep learning.
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