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Emerging Career Trends in Computer Science
In the world of computer science today, there is a very bright outlook for the computer
science students. In most of the researches that have been done, graduates of computer science
have one of the best salaries and working condition in the employment sector. They still have
one of the highest demand levels in the employment market and that is why most of these
graduates can be very picky in making their employment of choice. Over the recent years,
technology has been growing so highly and exponentially, that the demand for sharp minds in
computer science has increased so steadily to help in solving problems and new challenges
ranging from the field of cyber security and data infrastructure. Some of the latest trends in the
technology industry are in the field of computer science research.
One of the most lucrative job opportunities in the field of Artificial intelligence and
robotics. This field of robotics has been forecast to be worth 80 billion US dollars by the year
2024. A large portion of the growth in the industry has been projected to the massive interest and
investments made in the field of artificial intelligence. Those companies that fail to keep up with
the artificial intelligence and robotics will face the risk of extinction (1). However, the
technology is still in its early stages of development, but huge technology companies like google,
Facebook and IBM have invested huge amounts of money and resources onto the research. This
is a field that does not have minimal opportunities in the development of technology that is
applicable in the real world. In the field of artificial technology, one of the most recent emerging
trends in this field is Robotic engineers.
A robotic engineer is supposed to be used in developing algorithms and capabilities of
machine learning to enable innovative manufacturing processes and tools or automation. A
robotics engineer works with the hardware team focused on R & D and product designers. A
robotics engineer works with software engineering teams of the testing devices, manufacturing,
certification, quality and compliance. Additional responsibilities for the robotic engineers include
defining architectural software systems for the automization of hardware solutions. A robotics
engineer also should be responsible for developing software codebase, firmware of programs of
different various levels for hardware solutions (2). Define structures of database identifying data
types for the collection and setting up of the software for data analysis.
A robotics engineer is also supposed to develop innovative algorithms, tools for deep
learning, artificial intelligence to be embedded in cloud applications and hardware solutions.
Wiring tests to validate system compliance and performance. Supporting a team for hardware
development embedded with actuators, troubleshooting sensors, and other subsystems which are
in the phase of pre-production. Collaborating with software and hardware team in the
environment of agile development. The educational requirements for a robotics engineer is a
masters or PhD in Robotics, physics, Electrical engineering, mechatronics or other related fields
(3). The engineer should also have strong multithreaded programming skills with the language
skills that are used in embedding systems such as C++, C, ROS, Python, and Rust. The graduate
is also supposed to have knowledge and skills in robotics algorithm and understanding real time
systems, a robotics engineer is supposed to have strong communication mechanisms, ability to
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