No one could have predicted that a self-driving car would become a reality in the future. However, what we previously considered “maybe feasible” has evolved into “how could anybody assume it was inevitable” and is now “commercially available” and driven by Self Driving Cars Companies.
Self-driving cars and associated technologies have been in the pipeline for quite some time. Recent advancements in machine learning and artificial intelligence have facilitated significant progress in the self-driving vehicle sector.
You could be interested in self-driving cars and want to work with robotics or artificial intelligence. If so, you should think about becoming a self-driving vehicle engineer.
There are several opportunities to work on self-driving cars with top companies. You will make good money while exploring exciting knowledge-based professions.
In this article we’ll take a closer look into the self-driving cars companies considered to be the best to work for as well we’ll give you some tips to increase your employability in this exciting sector.
Learn how to become a self-driving car engineer working for Top leading companies.
- How to determine which Self-Driving Cars Company is worth to be considered?
- Top 9 Leading Self Driving Cars Companies that you may consider to work for
- Self-driving Cars Engineer – who is this role for?
- What are possible careers in Self-driving Cars Engineering?
- What are the Self-Driving Cars Engineers salary?
- What you should expect from Top Self-Driving Cars Companies to offer?
- What competences are required from Self-Driving Cars Engineers?
- Increase your employability to become a Self-Driving Cars Engineer
How to determine which Self-Driving Cars Company is worth to be considered?
When you start to think about what are the top self-driving cars companies to work for, you may be surprised that there are a lot of them that fall into this category. In order to make a decision in which of these companies to work, it’s good to know more about them.
When trying to figure out which of the self-driving cars company to work for, there are a few things to bear in mind. This is by no means an exhaustive list, but it does reflect some of the most important factors to consider.
– Brand perception – consumers are more willing to buy from companies they perceive to be innovative and reliable with an established position in the market
– Talent attraction and retention – companies that look for talented individuals with the desire to retain them for long-term career development
– Financial stability – it is critical for the self-driving vehicle company to maintain financial stability in order to withstand market downturns and leverage expansion possibilities.
– Reputation – a company that has a positive reputation within its industry is one that is likely to continue to do well. You want to work with someone who is willing to put customer satisfaction first and is willing to go above and beyond their duties to make sure their customers are satisfied.
Top 9 Leading Self Driving Cars Companies that you may consider to work for
Many global automakers are currently developing self-driving vehicle technologies. The below are the most successful leaders in Self-Driving Cars technologies:
Waymo is an autonomous driving technology company owned by Google. With Google Self-Driving Car Project is considered to be one of the most iconic and advanced autonomous vehicle programs. That makes this brand one of the most innovate self driving cars company.
Waymo vehicles are fully equipped with Waymo diagnostics, which means they can “talk” to and receive information about the surrounding environment in real-time to help the rider avoid traffic jams or pick up a destination safely. This new feature expands on the self-driving concept that Waymo pioneered with its fleet of self-propelled electric skateboards called Project Zero.
Waymo’s self-driving concept has been tested successfully for years on closed streets in the Phoenix area. Last fall, a Waymo self-driver robot named Troilus took a cross-country trek from San Francisco to Los Angeles, logging more than 20 million miles without once needing to humanly control the vehicle since 2009. The impressive trip was made possible due to Waymo’s extensive fleet of fully automated vehicles, called Waymo Stars, that are strategically placed throughout the city to provide drivers with a hands-free, fully automated experience throughout all of its stops.
Waymo plans to expand into other autonomous vehicle safety technologies in the future, including carpooling, shuttle buses, and air-conditioned massaging fleets.
GM (General Motors) – Cruise
General Motors is one of the leading car manufacturers in the world today. Cruise, which was founded in 2013 by Kyle Vogt and Dan Kan, has been acquired by General Motors in March 2016.
Currently, Cruise is GM’s self-driving car branch. Cruise just raised $2 billion, bringing the company’s total worth to $30 billion. Cruise’s self-driving car developers are working on creating a commute fleet of completely autonomous vehicles for usage in San Francisco.
Microsoft and Cruise have just built a partnership. Cruise and Microsoft will put Microsoft’s cloud and edge computing platform, Azure, through its tests in the context of Cruise’s self-driving vehicle technology.
In January 2020, Cruise presented the Origin, a purpose-built electric van built by GM and Honda that would serve as the foundation of the company’s fleet when its commute service begins. And, like airline fleets, Origin is built for long-term usage, flexibility, and ease of maintenance.
The electric cars will be designed on a low-cost platform with easy swapping and upgrading of sensors such as laser lidar, radar, and cameras, as well as easily replaceable body panels. The vehicle doors are large enough to enable the replacement and upgrading of internal floors, ceilings, and seating, and the use of high-durability materials.
Mercedes-Benz, a well-known German automotive company, is developing automated driver assistance systems that fall under the Society for Automotive Engineers (SAE) International’s “Levels of Driving Automation” levels three and four.
Mercedes developed Drive Pilot, which operates with the assistance of radar, lidar, a road moisture sensor, microphones, ultrasonic sensors, and cameras. The system detects merging traffic and lanes that come to an end, maintains and adjusts vehicle speed, changes lanes to overtake slower cars, and senses merging traffic and lanes that come to an end.
Drive Pilot may initially operate at speeds of up to 60 km/h (37 mph). The system’s performance will be increased in the future as a part of software upgrades.
Mercedes-Benz has collaborated with NVIDIA to develop the world’s first software-defined vehicle, which will be unveiled in 2024. NVIDIA is recognized for its cutting-edge graphics cards and cutting-edge technology. In the fields of artificial intelligence, deep learning, and robotics, they are also pioneers. For several years, the firm has actively investigated autonomous driving technology, creating a solid foundation for its current initiative.
Their new technology, called “Orin,” will be combined with cutting-edge software to give future Mercedes autonomous vehicles remarkable capabilities (AVs)
Mercedes-Benz Research and Development North America (MBRDNA) has collaborated with Udacity to develop our Nanodegree programs in Self-driving Car Engineer and Sensor Fusion Engineer.
Tesla regularly generates headlines for its efforts on self-driving car technology. The company has been equipping all new cars with an autopilot. When the autopilot is selected, Tesla vehicles may autonomously brake, steer, and accelerate inside their own lanes.
Tesla intends to upgrade their vehicles’ software systems with new autonomous functions when they become available following more research and development. To identify and respond to ambient objects such as buildings, trees, and pedestrians, Tesla employs integrated sensors such as cameras, ultrasonic sensors, and radar.
Tesla manufactures not just all-electric cars equipped with autopilot, but also infinitely scale clean energy generation and storage systems. Tesla believes that the faster the world moves away from fossil fuels and toward a zero-emissions future, the better.
Ford is one of the fastest-moving autonomous vehicle companies, with aggressive plans to introduce a fully autonomous vehicle.
According to the company, Ford Motor plans to begin its self-driving commercial operation in 2022 with vehicles based on the Ford Escape Hybrid crossover.
The cars are the fourth-generation self-driving test vehicles developed by the carmaker in collaboration with Argo AI, a Pittsburgh-based autonomous vehicle start-up. Ford and Volkswagen AG, a German carmaker, divided an 80 percent controlling interest in the company.
According to John Davis, chief engineer of Ford’s autonomous vehicle division, the next-generation cars feature “launch-intent” technology that is required to support commercialization.
Higher resolution cameras, more powerful radar sensors, and more powerful Lidar technology, which uses lasers to scan surrounding surroundings, are among the enhancements.
Toyota was initially hesitant to introduce an autonomous vehicle; but, starting mid-2016, it has taken a radically different approach to the autonomous vehicle. It currently spends over $10 billion per year on research on self-driving vehicles.
Toyota subsidiary Woven Planet Holdings has purchased Renovo Motors, a firm that develops operating systems for self-driving cars. It is the latest purchase aimed at accelerating Toyota’s mission to build self-driving vehicles with linked software.
Renovo, located in Silicon Valley, provides operating systems that combine all of the software required to manage fleets of self-driving vehicles.
The business collaborated with Affectiva, an AI startup, to include this technology into its test car fleet.
Partially automated functions are now a reality and may be found in the latest BMWs on the road. Semi-autonomous driving assistance technologies, such as the Steering and Lane Control Assistant with Traffic Jam Assistant, make everyday driving a lot simpler. They can brake and accelerate automatically, and they can take over steering.
For the first time, BMW’s remote-controlled parking feature made it feasible to pull into tight places without a driver. Level 2 requires the driver to maintain control of the vehicle while also paying close attention to traffic.
Under certain conditions, future BMW Personal CoPilot systems in the third development phase will allow drivers to entirely divert their focus away from the road. To put it another way, they’ll be able to give the vehicle total control.
The car will be able to drive itself over extended distances in specific traffic conditions, such as on highways, thanks to conditional automation technologies. However, in situations like road construction sites, the driver must be prepared to seize control in a matter of seconds.
For some years, BMW research cars have been using public roads to test highly automated driving.
Zoox, a self-driving company located in Australia that was formed in 2014, is building the world’s first completely autonomous car fleet from the ground up, as well as the supporting ecosystem needed to bring the technology to market. It was the first business in California to receive approval to operate self-driving transportation services for the general public in 2018.
Zoox is not like its competitors. It’s not simply about creating a self-driving software stack. The business is in charge of developing the on-demand ride-sharing software as well as the car itself. Zoox also intends to own, manage, and operate its fleet of robotaxis.
The company intends to deliver the next generation of mobility-as-a-service in urban areas, by combining artificial intelligence, robotics, and design.
Zoox’s robotaxi is equipped with advanced safety technologies. Rosekind who is Chief Safety Innovation Officer at Zoox provided information on nine of them, which are divided into three categories: driver control, no single point of failure, and rider protection.
On top, there’s a crown of six LIDAR pucks, with radar sensors and cameras. According to Zoox, this gives a 270-degree field of vision at each corner, practically eliminating blind spots and offering redundancy in the event that a sensor fails. According to Zoox, the sensor suite allows the vehicle to observe things up to 150 meters away.
It features four-wheel steering and bidirectional driving capabilities, allowing it to change directions without having to reverse and navigate in tight places. In addition, airbags are included in each of the vehicle’s four seats.
The above features, achievements and further plans make Zoox one of the most innovate self driving cars company.
Apple started working on “Project Titan” in 2014, with over 1,000 automobile specialists and engineers building an electric vehicle in a secret facility not far away from the Cupertino headquarters.
Apple stated in December 2020 that it is still working on a self-driving car and that it still aims to produce one in three to six years. According to Reuters, Apple is shooting for 2024, but Apple analyst Ming-Chi Kuo says a car won’t arrive until 2025 to 2027 at the earliest, and the company is still dealing with leadership and management difficulties.
The vehicles will be produced in collaboration with a manufacturing partner, and Apple is working on “next-generation” battery technology to improve range and efficiency.
Apple is in negotiations with four companies to develop LiDAR sensors that are smaller, less costly, and easier to mass-produce than existing LiDAR systems, which are too large and expensive for use in mass-produced cars. Apple wants to create a “revolutionary design” that may be utilized in an autonomous car in the future.
Although Apple’s ”Project Titan” is strictly confidential and not a lot of details are officially released, we know the potential of Apple to become one of the most innovate self driving cars company.
Self-driving Cars Engineer – who is this role for?
You could already have a foundation in computer science, engineering, or robotics and wish to pursue a career in self-driving vehicles. Alternatively, you may have no previous experience in driverless car engineering but are interested in learning more to become an expert.
Self-driving vehicle engineering is an excellent discipline for those who work and learn in the following:
- Learners and skill-enhancers throughout the rest of their lives
- Problem solvers and researchers
- Programmers and Coders
- Analytical and Technical thinkers
This list is not limited to the above-mentioned. Individuals with a wide range of backgrounds, skill sets, work styles, and hobbies can succeed in the area of autonomous vehicle engineering.
What are possible careers in Self-driving Cars Engineering?
The worldwide autonomous vehicle industry was estimated at $24.1 billion in 2019 and is expected to expand at an 18 percent compound annual growth rate (CAGR) from 2020 to 2025. Job opportunities for self-driving vehicle engineers and associated specialists are continuously increasing and are accessible all around the world.
Leading self-driving cars companies recruit professionals from a variety of disciplines. Engineering for self-driving cars includes the following job titles:
- Autonomous driving validation engineer
- Robotics engineer
- Sensor system engineer
- Programming engineer
- Electrical engineer
- Controls and drives engineer
- Systems engineer
What are the Self-Driving Cars Engineers salary?
It is not a secret that engineers working in self-driving cars companies are well paid.
According to PayScale, the average base salary for Autonomous Vehicle Systems Engineering is $103,000.
Experienced workers earn up to $200,000.
What you should expect from Top Self-Driving Cars Companies to offer?
When looking for employment, don’t just focus on salary – check out what they have to offer. You may be working with someone who is willing to go above and beyond your expectations if they are truly passionate about their job.
There are numerous factors to consider while selecting between potential employers, ranging from corporate culture to possibilities for development.
The following are the most important characteristics to look for in a company.
1. Do you share the same values as the company?
2. Is the company’s culture a good match for you?
3. Would you like to work with the members of the team?
4. Will you be given the chance to learn anything new?
5. Does the firm have room for expansion?
6. Will your bosses show appreciation to you?
7. Is the business secure and reliable?
8. Does your employer provide you with the resources you need to succeed?
9. Will you be able to learn transferable skills in your current position?
10. Will you be positively challenged?
What competences are required from Self-Driving Cars Engineers?
To be hired in a self-driving cars company, you need to demonstrate the required competencies.
Competencies are certain features that a company’s recruiters have determined are desirable for employees to have and are used as standards against which assessors can evaluate candidates during job interviews. Competencies are the skills, knowledge, and abilities that an individual possesses.
Depending on the specific departments in Self-Driving Cars companies, from potential candidates, the employer will look for:
- Python and/or C++ skills, as well as knowledge of Linux. The ability to write clean code and navigating large codebases
- Applied machine learning, Industry software, distributed computing, distributed machine learning
- Mathematics (e.g. calculus, linear algebra, probability and statistics)
- Sensor systems (e.g. lidar, radar, GPS, sonar, cameras)
- Automotive vehicle mechanics and design
- While prior expertise in autonomous driving or testing is not necessarily required, it is a desired skill set for possible applicants
- Apart from technical competencies, the desire is to have strong verbal, writing, and communication skills, excellent problem-solving abilities, as well as a willingness to learn and, effective work within the team
Increase your employability to become a Self-Driving Cars Engineer
To increase your employability, you might be interested in learning more about the skill sets for self-driving vehicle engineers and similar professions.
Udacity is one of these online platforms that truly benefits students. Their nanodegrees are of the greatest quality and cover many of the industry’s most wanted talents.
A self-driving vehicle engineer’s career path has a bright future ahead of it. Udacity is a pioneer in learning Self-Driving Cars technologies. It is the first e-Learning platform that offered comprehensive solutions in form of Nanodegrees that cover a vast majority of required skills to be successful in this exciting discipline.
Their Self-Driving Cars Nanodegree was created in partnership with Mercedes-Benz, Uber, Nvidia, and McLaren, so you can be certain that the knowledge and skills you’ll get are of the highest quality and will help you grow in your career.
The most comprehensive nanodegrees for Self-Driving Cars Engineers:
Udacity also provides a number of related Nanodegree programmes:
- Become a Robotics Software Engineer
- Flying Car and Autonomous Flight Engineer
- Become a Sensor Fusion Engineer
Many cars are now considered semi-autonomous, including features such as assisted braking and parking. Although Tesla sells a “Full Self Driving” package, it is not totally autonomous. Self-driving cars rely on comprehensive GPS capabilities and sophisticated sensor systems – this technology still requires development.
While there is yet to be a commercially viable 100% self-driving car available to the general public, as machine learning advances, some experts estimate that by 2025, customers will be seeing self-driving cars rolling off the production line.
Self-driving cars engineer jobs will grow more in demand as firms strive for domination in this sector and seek qualified people who can innovate.
Now it is your turn to decide, would you like to be a part of a unique team working for Self Driving Car company.