Ten years ago, the tech industry believed it would completely revolutionize transportation in just a few short years. Executives predicted that we would all go from point A to point B in ridesharing vehicles driven by world-class artificial intelligence (AI). Urban infrastructure would fundamentally change thanks to all the innovations coming from companies like Uber and Tesla.
But several things have interfered with this utopian vision. For starters, autonomous driving proved to be much more difficult to implement than expected; it turns out that even the most sophisticated machine learning models struggle with the unpredictability of human-generated traffic. Then, companies like Uber suffered disorderly internal and external crises, leading to layoffs and company reshuffles.
As we move into 2022, however, it’s clear the tech industry isn’t ready to give up on plans to “disrupt” the way we go. Apple is said to be working hard on a vehicle (which may include some sort of autonomous driving feature), Tesla appears to intend to offer autonomous driving software despite government investigations, and rideshare companies continue to figure out how. make a profit.
If you are a software engineer interested in transportation, now is a good time to enter the industry. But how much can you expect to get paid and which of the largest companies in the segment pays the most? Here’s a handy chart that details all of that for entry-level engineer positions, thanks to the level.fyi compensation-crowdsourcing site:
Spoiler alert: all of these companies tend to pay their software engineers very well, which makes sense given the competitive nature of the technology transportation segment; no company wants its key employees to be hired for money. That Tesla pays a little less compensation than some other companies may come as a surprise, given the company’s extremely public profile, but ultra-famous companies sometimes pay less than you might expect.
At Tesla, skills most in demand for software engineers include Python, software engineering, and project management; mastery of machine learning and AI will also be of interest to its recruiters. Many of these same skills are undoubtedly essential in other technology transport companies. Keep this in mind if you are interested in applying.