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Robotics Sales Engineer

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April 29, 2024 4 minute read

Robotics Sales Engineers support customers to select, implement, and get value from robotic automation solutions. They can work with potential new customers, existing customers to expand their robotic automation, or work with customers to support their on-going operations and get the most out from their robot investments.

What is crucial for Robotics Sales Engineers?

Robotics Sales Engineers are required to have strong technical skills and an understanding of robotics and automation technologies. They are routinely working with engineering and manufacturing professionals and often must have a deep understanding of concepts in manufacturing and automation.

They must be able to take the concept of robots into numerous industries such as Automotive, Electronics, Food & Beverage, life sciences, and pharmaceuticals to name a few.

Key Responsibilities

The most common responsibilities include:

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Salaries for Robotics Sales Engineer

City
Median
New York
$118,000
San Francisco
$165,000
Seattle
$185,000
See all salaries
City
Median
New York
$118,000
San Francisco
$165,000
Seattle
$185,000
Austin
$180,000
Toronto
$190,000
London
£67,000
Paris
€65,000
Berlin
€91,000
Tel Aviv
₪485,000
Singapore
S$125,000
Beijing
¥240,000
Shanghai
¥140,000
Bengalaru
₹1,135,000
Delhi
₹1,110,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Robotics Sales Engineer

Take the first step.
We've curated two courses to help you on your path to Robotics Sales Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

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.
This textbook provides a rigorous mathematical treatment of robotics, covering topics such as kinematics, dynamics, control, and planning. It is suitable for advanced undergraduate and graduate students with a strong background in mathematics.
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.
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.
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.
This textbook covers the full spectrum of robotics, from kinematics to control to planning. It is suitable for advanced undergraduate and graduate students.
This textbook provides a comprehensive introduction to robot modeling and control, with a focus on practical implementation. It is suitable for advanced undergraduate and graduate students with a background in control theory.
This textbook covers the fundamentals of robotic mapping and navigation, including sensor models, localization, and path planning. It is suitable for advanced undergraduate and graduate students.
This textbook covers the fundamentals of robot learning, including supervised learning, reinforcement learning, and unsupervised learning. It is suitable for advanced undergraduate and graduate students with a background in machine learning.
This textbook provides a comprehensive introduction to AI robotics, covering topics such as robot learning, planning, and decision making. It is suitable for undergraduate and graduate students.
Explores the ethical and social implications of robotics, raising important questions about the use of robots in various domains. It is suitable for anyone interested in the ethical implications of technology.
Provides a comprehensive overview of human-robot interaction, covering topics such as robot design, interaction modalities, and social implications. It is suitable for researchers and practitioners in this field.
Provides a comprehensive overview of the Robot Operating System (ROS), which popular open-source software framework for robot software development. It is suitable for engineers and researchers who want to use ROS for robotics projects.
This textbook provides a comprehensive introduction to autonomous robots and multi-robot systems, covering topics such as robot autonomy, cooperative control, and swarm robotics. It is suitable for advanced undergraduate and graduate students.
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