Tesla is looking for a Chief Designer to oversee its production of China-specific model releases in the country. The company’s efforts to open a Design Studio in China have been well-known, but the search for someone to help design cars that will be geared toward the Chinese market in specific continues.
Tesla has been manufacturing its electric vehicles in China since late 2019, while the first public deliveries began in January 2020. Since then, the automaker has seen overwhelming growth, which has been driven by incredible demand in China. The Tesla Model 3 is coming off of a highly-successful 2020 where it dominated sales figures for the full year. The Model Y also began production in late 2020 in Shanghai at its manufacturing plant, but the two cars are not all the company has in its plans.
Sources familiar with Tesla’s operation in China told Reuters that the company had started a full-fledged search to find the person who will design China-geared designs moving forward. According to the sources, recruiters and human resources representatives have worked diligently for four months to find a “bi-cultural” candidate with at least 20 years of experience. It will require a subjective sense of automotive design and familiarity with Chinese tastes. Even though Tesla has done relatively well in the Chinese market with its cars, the company plans to attack the market with designs that will speak to local citizens, which should drive sales figures through the roof.
A handful of potential candidates have been interviewed by Franz von Holzhausen, Tesla’s Chief Designer, but it is unknown how many people Tesla has talked to thus far.
In June 2020, Teslarati reported that Tesla was requesting that everyone, regardless of design experience or automotive craftsmanship, design an all-electric car that would appeal to China’s masses. “Even if you are not a car designer, you are welcome to submit. It’s more than just a car designed for you,” Tesla stated. “Please think of China in your Tesla design work.”
This request from the automaker followed a January 2020 Reuters report that revealed Tesla’s plans to design a “Chinese-style” vehicle.
Tesla is coming off its biggest year as a company, successfully delivering 499,650 of its over 509,000 produced cars. Q4 2020 was the company’s biggest quarter yet in terms of production and deliveries, as the company worked diligently to attain the 500,000 vehicle guidance it set for itself well before the COVID-19 pandemic slowed production lines.
Chinese-Style Tesla Vehicles (Source: Tesla China WeChat)
The mission to increase the number of EVs on the road is far from over for Tesla. Now, it seems the automaker will begin adapting body styles to every market, looking to cater to each consumer base individually, instead of planning to release a universally-accepted vehicle that doesn’t require revisions. While Tesla’s cars have been successful in countries other than the U.S., there is still work to be done. With more cars on the road in China than any other country globally, focusing on China could ultimately lead to long-term success for Tesla and may lead to a more prolonged domination of the sector than originally anticipated. CEO Elon Musk has openly stated that other companies will catch up in terms of EV development, but Tesla would be able to remain in their lead due to manufacturing efficiencies.
Once a Chief Designer is hired, Tesla will begin to build a team that will turn renderings into clay models. This will eventually lead to new EV designs being built and a broader range of body styles for consumers to choose from.
It is unclear if the development of new Chinese designs has anything to do with the $25,000 vehicle that Tesla plans to manufacture in China soon. Tesla detailed this vehicle at the company’s Battery Day event in September, where Musk stated that a $25k, fully autonomous car would be available in 3-5 years.
Right now, China is swallowing up demand for small, compact cars, even if they are not electric. The Toyota Corolla and Volkswagen Golf are two of the most popular, and Shanghai-based consultancy group Automotive Foresight says that a compact vehicle could be Tesla’s key to dominating the country and beyond. “A compact Tesla car would do well in China, as well as the rest of Asia and Europe,” Automotive Foresight’s Yale Zhang said. “It could potentially put a serious dent in sales of cars like Toyota’s Corolla and the Volkswagen Golf.”
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
