The economic impact of today’s crisis is so severe that it has been compared to the economic decline of the Great Depression. In this situation, the question that is at the top of every young graduate, and fresher is regarding how to make a secure career today.
There are industry reports that state that even amidst the crisis, companies have not paused hiring in emerging technologies like Artificial Intelligence(AI), Machine Learning(ML), Internet of things(IOT), Blockchain, & Robotic Process Automation.
In fact, the demand for professionals in these roles have increased due to a lack of adequately skilled talent. In this scenario, job aspirants and young graduates can do well to upskill in these technologies.
So, what are the industries that are hiring for emerging tech professionals?
From Retail, Healthcare, Finance, to Media & Entertainment, there is no dearth of industries that require skilled talent to explore new fronts, and opportunities using emerging tech.
However, there is one industry that is attracting a lot of investments for research and development using technologies. Yes, I am talking of the auto-tech industry, specifically a niche area called the autonomous vehicle industry.
Exciting careers in autonomous vehicle or auto-tech industry
Think self-driving cars — that’s what a career in the niche domain of auto-tech, i.e. autonomous vehicle industry promises. Industry giants like Google, GM, Ford, Tesla,Uber and innumerable start-ups around the globe are investing heavily in this industry, which means that skilled professionals are going to be much sought after.
Some of the attractive roles in the autonomous vehicle industry are:
- System Software Engineer
- Perception Software Engineer
- Deep Learning Engineer
- Vehicle Software Engineer
- Localization and Mapping Engineer
5 things you should do for a great career in the autonomous vehicle industry
If you want to explore an exciting career in any of these roles, some of the things you need to do are:
1. Get a solid base in Mathematics
Linear Algebra, Calculus are some of the concepts that are the centre of how cars learn to drive itself. So, get your base right before you move on to develop other complex skills.
2. Learn to code in Python, C++, Linux
Coding is a must in this industry. Even those who are not directly working with the software still need to know programming languages to get an overview of the system, and interact with it.
3. Become proficient in Machine Learning and Deep Learning
Autonomous vehicles work through algorithms, and these algorithms need to be updated, and improved frequently. This can only be done through machine learning. Also, Deep Learning based image recognition is used for identifying objects in self-driving cars, and is thus, a valuable skill to gain.
4. Start making your portfolio of Robotics projects
Start working on individual projects that show your skills, and commitment in this career field. You can start by investigating the pain-points of self-driving vehicles, and work on a possible solution.
5. Finally, start networking
Networking is essential regardless of your career choice. Attend webinars, panel-discussions, and other knowledge-driven sessions to build your knowledge in this domain, and develop a professional network.
As a newcomer, you need all the help that you can get, and developing relationships can provide you mentors in this domain and provide insights on the roles that companies are actively hiring for (some of these roles never get advertised, and are filled on recommendation basis)
– Article by Ravi Kaklasaria, CEO, SpringPeople