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Tesla is becoming the company of choice for next-generation auto workers
Tesla’s first handover ceremony for its Made-in-China Model 3 in Gigafactory 3 was memorable for a variety of reasons. For one, it proved that Tesla could meet or even exceed the already-ambitious goals of CEO Elon Musk. It was also an event that was made extra special when a young GF3 worker decided to propose to his partner with his blue MIC Model 3.
The scene is representative of a trend that seems to be present in Tesla’s ranks: the company is becoming the de facto carmaker of choice for the next generation of auto workers. Gigafactory 3’s workers who were present at the handover ceremony were mostly young. This extends to the company’s executives as well. Unlike conventional executives from legacy auto, who are populated by veterans who have been in the business for decades, Tesla’s executives are young, aggressive, and even a tad bit ambitious.
This observation was mentioned by Tesla owner-enthusiast @Ray4Tesla in a tweet following the handover event in Shanghai. Several executives from Tesla attended the MIC Model 3 delivery event, and all of them were in their 30s and 40s. They were articulate, energetic, and seemingly very motivated. In a way, the energy exuded by Tesla China’s executives was fitting for a company whose mission is literally to accelerate the advent of sustainability.
Tesla’s allure for young professionals is not just limited to China. Recent comments from Jorg Steinbach, the Economics Minister of Brandenburg, suggested that Germany may be looking to Tesla to attract young talent as well. “I am optimistic that young people from all over Germany and far beyond want to take part in this project,” he said, adding that the arrival of the electric car maker could allow the region’s workers to future-proof their jobs.
Perhaps it’s Tesla’s disruptive nature, or its startup nature, but the company continues to rank high among young job seekers. Working at Tesla is notoriously challenging, filled with long hours and hyper-ambitious targets. It’s essentially a Silicon Valley startup, but instead of a mobile app or an internet-based service, the company’s product happens to be electric cars and battery storage devices. Stories from former workers at Tesla tell of intense work environments and sudden changes of pace. Yet, it is also one that the best and brightest find very difficult to pass up.
Employer branding specialist Universum’s 2019 survey found that Tesla and SpaceX, two of CEO Elon Musk’s companies, are perceived by engineering students as the best employers in the country. For many young workers, particularly those whose idealism is still intact, there are few companies in the world worth working for, and one of them happens to be Tesla. Overall, it appears that for many of these young workers, the challenges that come with a job at Tesla are well worth it.
Another reason for this is likely Tesla CEO Elon Musk. Bold and daring, Musk has been compared by the media to billionaire-genius-superhero Tony Stark/Iron Man. Just like the fictional Stark, Musk barrels through his projects with an intensity that’s near-obsessive, and at times, with seemingly little regard for his personal safety. While conventional auto CEOs are thought to spend their days behind a desk and at meetings, Musk is out on the roads testing the limits of Autopilot and Full Self-Driving on his personal vehicle. Musk is also known to get his hands dirty when needed, with the CEO being spotted torquing bolts with Tesla’s workers during the buildout of Tesla’s GA4 line for the Model 3 in the Fremont factory.
Ultimately, it is quite inspiring to work for a company whose goal is not just to make money every quarter, but one that fights a far more important battle. It is also inspiring to work under a leader who puts himself in the front lines. This certainly seems to be the case, with a survey from job search marketplace Hired indicating that Musk is currently perceived by job seekers as the most inspiring leader in tech. This is something that has been noticed by veteran Shark Tank judge Kevin O’Leary, better known by his tongue-in-cheek nickname, Mr. Wonderful, as well.
Prior to being a TSLA investor, O’Leary had been critical of the electric car maker. But one of the tipping points for the investing veteran came after watching electric vehicle races that involve engineering students from various schools. Automakers would usually send their HR teams to these races, in an effort to attract up-and-coming talent. But after each race, the Shark Tank judge realized that the winning teams all head over to one company: Tesla. This, according to O’Leary, is a big advantage for the electric car maker.
“Every one of these engineers, the smoking hot kids that sit with their cars, the men and women that sleep with them for 24 hours a day; it’s an unusual culture I’ve never seen before. They all want to work at Tesla. Why? Because the teams are six to eight people. If they go to a legacy car company, they get drowned out in the back somewhere. These smart, young, men and women make a big difference as interns. I can’t believe the access to talent they have,” O ‘Leary said.
With this in mind, it appears that Tesla’s future as an electric car maker is secured, at least with regards to its talent pool. Provided that the company maintains its course, and its leadership remains as motivated, there is very little doubt that the disruptor from Silicon Valley could attract the best and brightest workers when needed.
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
