We are looking for a strong systems engineer to join our Mountain View office to develop both data and test driven insights on evaluating our autonomous systems performance. We use these results to drive our autonomous software development with high standards on our robotaxi customers' safety and comfort. The expected salary range is $139,200 to $235,872 bonus equity benefits. Actual starting pay will be based on job-related factors, including exact work location, experience, training, and skill level, so may be higher or lower than what is shown on this posting. This job may be also eligible for additional discretionary bonuses and equities.

We are currently looking for an experienced Recruiting Manager to join our Mountain View office. We are looking for a team player with strong ownership of the entire recruiting process and to take charge in scaling our Didi autonomous driving teams. Didi Chuxing ("DiDi") is the world's leading mobile transportation platform. We're committed to working with communities and partners to solve the world's transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation. Didi Chuxing's Autonomous-Driving team was established in 2016, and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others.

A major Didi ambition is to launch fleets of driverless cars in a number of locations in China, in line with the Chinese government's vision of building a "comprehensive digital infrastructure network" based on high-tech innovations like deep learning, machine learning, artificial intelligence and the Internet of Things. In 2019, the company spun off its autonomous driving unit in a move designed to focus and designate more resources toward business development and product innovation. Didi established its autonomous driving team in 2016, when Uber sold its China business to the company, a notable exit by the U.S. ride-hailing giant from the region which exposed Didi to an international customer base. SoftBank played an influential role in that decision and has since led a $500 million fundraising round in Didi's autonomous driving division. Didi Labs has employed more than 500 people in China, as well as at its Mountain View, California research facility, where it has been working with various auto manufacturers like Volkswagen and Toyota Motors to test core innovative technologies.

The computer system housed in the trunk quickly processes information gathered by a fast-spinning sensor atop the vehicle, calculating how many pedestrians are nearby and predicting which lane the car in front will shift into. This unmanned car is among the first self-driving taxis -- or robotaxis -- permitted to carry passengers on the open roads of Shanghai, part of a pilot program from China's dominant ride-hailing platform, Didi Chuxing. Since Saturday, users of Didi's app aged 18 to 70 have been able to sign up for a free test drive. Wang Mingze, a Didi spokesperson, told Sixth Tone that so far, over 10,000 people have requested test drives. "The line is pretty long," he said. "People will have to wait a few days before their turn comes up."

One of the most active areas of research and development at the moment is in the push towards self driving cars and autonomous transportation. Should self driving cars be realized it will free up time and reduce stress levels on the daily commute. If perfected it may also be safer than cars being driven by humans. Electric powered autonomous shuttles replacing gas guzzling cars could also have a significant, positive impact on the environment. It is no wonder, therefore that many of the leading players in the autonomous sector, as well as many major car manufacturers, are investing significant amounts of time and expense into developing smart self driving and autonomous solutions. The following list is organized alphabetically and will look at 33 of the leading companies who are currently pioneering self driving car technology. Since 2016 there has been much interest surrounding Project Titan. This is the name given to Apple's development program for self driving cars. However the drive for autonomous cars did not get off to a smooth start. Early setbacks, such as a rumoured hiring freeze following the departure of project head Steve Zadesky hit the program. There was also a rumours of uncertainty within Apple regarding the vision of the project. Since then Apple has tasked Bob Mansfield, a noted hardware executive, with leading their charge towards developing self driving cars. The subsequent appointment of Dan Dodge, the founder and former CEO of QNX indicates that Project Titan now has a firm strategy. This means that Apple is focusing the majority of its efforts on the development of autonomous or self driving cars. Apple documents released in April 2017 revealed that the company was working towards creating an "automated system". To help further their quest towards achieving self driving cars Apple also revealed that they had conducted a recruitment drive. This has seen the company hire some former Waymo and NASA's robotic engineering experts amongst others. The most notable of these recruits was Jaime Waydo, a senior engineer who had worked at NASA's Jet Propulsion Laboratory as well as on various Waymo projects. This recruitment drive has served to kick start Project Titan. Following the new recruits arrival vehicular patent activity connected to Apple has noticeably increased. Since 2018 Apple has been fleshing out its autonomous cars fleet. In the summer of 2018 the company officially had 66 vehicles registered with the California DMV most of which were also operating on public roads around the state. This means that Apple has the third largest fleet of self driving cars in California, behind only Waymo and GM Cruise.

Chinese ride-hailing giant DiDi Chuxing has partnered with traffic police and Shandong University in the city of Jinan to use big data and artificial intelligence to ease traffic. An intelligent traffic management system named JTBrain was officially launched Wednesday, equipping the capital of east China's Shandong Province with a self-adaptive traffic-light control system. The system can serve as a decision-making platform to increase traffic efficiency, according to Liu Xianghong, chief scientist of DiDi Chuxing's intelligent transport department. JTBrain was designed to "learn and evolve" by modeling core algorithms and realize real-time control under different traffic conditions, according to Zou Nan, director of Transportation Study Center of Shandong University. Zou added that the brain-like system, which now covers 36 streets and 450 crossroads, uses AI, big data and cloud-computing to search for optimal traffic solutions.

Mobile transportation platform provider, Didi Chuxing (DiDi), has launched an initiative to fully understand the social impact on communities of artificial intelligence (AI). The company, which offers a range of app-based transportation options for 550 million users including taxi, carpooling and bike-share, made the announcement at its Tech Day in Beijing, where it also unveiled its latest developments in AI with industry partners, academia, students and engineers. At the event, DiDi's tech executives, led by Bob Zhang Bo, chief technology officer, shared details of breakthroughs in the company's popular Express Pool service, which aims to improve the user experience by using machine learning algorithms. Operating across more 100 cities in China, Express Pool now accounts for over 20 per cent of all trips in many core markets. It said the algorithms can help carpooling become the most effective mobility option for drivers to increase their income, for passengers to reduce costs, and for cities to enjoy a high level of efficiency in the transportation system.

SoftBank Corp. announced on Thursday that it will launch trial services for its taxi-hailing platform this fall by teaming up with Chinese mobility tech giant DiDi Chuxing. SoftBank and DiDi set up a joint venture last month called DiDi Mobility Japan to run the platform, which the firms say will improve the efficiency and quality of cab services and eventually help the industry grow. Japan already has several similar ride-hailing services, but the entry of DiDi -- whose 550 million clients make it one of the largest in the world along with SoftBank -- will raise the bar on the competition. "We believe this joint venture will add tremendous value to the taxi community in Japan, leveraging the technology abilities of DiDi as well as SoftBank's strong presence and strong customer base in Japan," said Stephen Zhu, head of DiDi Mobility Japan. The two firms said Japan's taxi industry faces a number of issues, including aging drivers and a cabbie shortage, as well as growing demand caused by a tourism boom.

Last month, a passenger using Didi Chuxing's carpooling service Hitch was allegedly killed by a driver using his father's account. Since then, the company has been rolling out new safety measures for its ridesharing platforms including updates to its emergency help feature and making driver facial recognition verification mandatory for each Hitch trip. Didi also stopped allowing Hitch trips between the hours of 10PM and 6AM as it considered additional measures. Now, Reuters reports, the company is extending its hours but will only allow late-night and early-morning rides between drivers and passengers of the same sex. The hours of operation will now be from 5AM to 12AM, but from 5AM to 6AM and 10PM to 12AM, drivers can only pick up passengers of their own sex.

Computers may better predict taxi and ride sharing service demand, paving the way toward smarter, safer and more sustainable cities, according to an international team of researchers. In a study, the researchers used two types of neural networks -- computational systems modeled on the human brain -- that analyzed patterns of taxi demand. This deep learning approach, which lets computers learn on their own, was then able to predict the demand patterns significantly better than current technology. "Ride sharing companies, like Uber in the United States, and Didi Chuxing in China, are becoming more and more popular and have really changed the way people approach transportation," said Jessie Li, associate professor of information sciences and technology, Penn State. "And you can imagine how important it would be to predict the taxi demand because the taxi company could dispatch the cars even before the need arises."