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Tesla’s intense work culture is a perfect fit for the industry’s most driven workers
Tesla, just like SpaceX, operates under Silicon Valley principles. While this enables Tesla to evolve faster than traditional automakers, such a system also requires employees to continuously dig deep in order to accomplish targets. When SpaceX was starting out, its recruiting pitch was simple — it was the “special forces” in the space industry — and it was this pitch that attracted talent who are hungry and motivated enough to help the company achieve its milestones over the years.
The same is true for Tesla. The electric car maker has been around for 15 years — a short period of time considering the pedigree of rival automakers — but the company has already established itself as a leader in premium electric vehicles. Such growth and progress did not come easy, though, with Elon Musk openly admitting to tech journalist Kara Swisher at an episode of the Recode Decode podcast that milestones such as the Model 3 production ramp were only made possible due to “excruciating effort” and “hundred hour workweeks by everyone.”
Such an intense work culture has attracted a lot of detractors. Critics have accused the company of overworking its employees, as reflected in multiple critical exposes published about Tesla’s operations this year alone. One of the executives who left Tesla, former Chief Accounting Officer David Morton, also cited the company’s pace of work as among the reasons behind his departure. With its intense work culture, ambitious targets, and its frenetic pace, Tesla’s work environment is definitely not for everyone.
As revealed by data from Handshake, a student career-services app, though, it is exactly this type of intensity that makes Tesla attractive to young, driven applicants. Handshake noted that Telsa received more job and internship applications than any other company listed on the app in the 2016-2017 academic year. Last year alone, Tesla collected almost 500,000 applications, which is about double the volume it received in 2016. In a statement to The Wall Street Journal, Cindy Nicola, vice president of global recruiting at Tesla, noted that the company had already received more applications to date this year than it did in all of 2017.
“Our interest from candidates continues to grow year over year,” she said.
Part of Tesla’s allure among young job applicants is the company’s mission — to accelerate the world’s transition to sustainable energy — as well as the passion of its CEO, Elon Musk, a hands-on leader known to work long hours with his employees when needed. Kiran Karunakaran, who worked as an engineer at Tesla before he moved to Seattle, noted to the WSJ that before he was employed by the electric car company, he received a job offer from Apple. The iPhone-maker’s $115,000 per year offer was superior to Tesla’s 95,000 a year offer, but according to the engineer, the decision for him was a no-brainer.
“What really attracts young people to Tesla is instant gratification. You see these incredible things you’ve worked on come to fruition, on the road, in months,” he said.
Tesla’s attractiveness among applicants extends well into its internship program. For interns, the company’s flat organizational structure provides them with an opportunity to exercise their ideas and be heard. Anusha Atluri, a student from Carnegie Mellon University’s Tepper School of Business who worked as an intern at Tesla this past summer, experienced this firsthand. She worked at Tesla at a time when the company was ramping Model 3 production, and partway through her internship, she came up with an idea that could speed up the electric sedan’s lines.
The intern presented her idea in a Powerpoint presentation to her team, and it was well-received. She initially planned to discuss her suggestions with management the following week, but Tesla opted to implement her suggestions the next day. By the following week, the line was running more smoothly. “They were like, why not just try it tomorrow?” she said in a statement to the WSJ.
While the demanding hours and ambitious targets in Tesla could be exhausting, some workers have found themselves being underwhelmed in other companies after a tenure with the electric car maker. An engineering manager, who opted to remain anonymous, noted that she actually left Tesla after having a baby. When she was ready to get back on the workforce, she accepted an offer from a large tech company. Eventually, though, she felt that she was not a good fit. It did not take long before the engineering manager decided to go back to Tesla’s high-intensity environment.
“It isn’t just about working less. Everybody should have more work than they can possibly finish at all times. It forces the person to draw the line on when they give up—when they say, I’m done for the day. At Tesla, you have to achieve some kind of comfort knowing you didn’t do it all,” she said.
Elon Musk has noted that Tesla probably has the most exciting product roadmap in the market today. With exciting new electric cars and energy products in the pipeline, the company is bound to grow and expand its workforce even more. The company would most likely demand long hours and ambitious targets for its employees for years to come. Despite this, the company would likely continue to attract the most driven individuals that the talent pool has to offer — individuals that, just like Elon Musk, thrive in the face of pressure.
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
