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Tesla job openings point to design development of future cars – Model Y?
It’s been nearly a half year since Tesla CEO Elon Musk confirmed during a quarterly earnings call that the next vehicle after the Model 3 will be the company’s Model Y compact SUV. One might recall that Tesla previously revealed its plan to broaden consumer reach beyond the premium sedan and SUV segment by producing a compact SUV “; thus, completing its S-E-X-Y line up.
Being the natural successor and “the obvious priority after the Model 3″, said Musk during a Q&A call with analysts earlier in the year, Model Y will be built on top of the Model 3 platform and see projected demand of 500k to 1 million vehicles per year.
Model Y (compact SUV) off Model 3 chassis. Tesla Bus/Minibus/Spacebus off Model X.
— Elon Musk (@elonmusk) July 31, 2016
Tesla has also announced its plan to venture into the mid-duty and heavy-duty truck segment by producing a Tesla pickup truck, Tesla Semi and a ‘Minibus’ based off of the Model X chassis. While Musk isn’t known for being timely and his plans, more often than not, seem lofty, one area he’s consistent on is being able to execute on these visions. And we now have a first glimpse on some of these visions coming to fruition.
All roads lead to “future Tesla vehicles”
Taking a look at recent job postings listed on Tesla’s Careers page, we can see several positions being opened at the company’s Hawthorne-based Design Studio – home base to chief designer Franz von Holzhausen and designers responsible for the creation of the Model S, Model X and Model 3.
Though the job descriptions are relatively vague and do not necessarily call out a specific model, one commonality between the roles is a reference to “design development of future Tesla vehicles”.
One can argue that this might be in reference to Model 3, however given the fact that it’s been in pencils down mode since June and the company’s actively shoring up relationships with suppliers, we can’t imagine why Tesla would just now be designing the exterior and interior of the vehicle.
Sr. Exterior Designer
As a Senior Exterior Designer at Tesla, you will be responsible for the exterior design development of future Tesla vehicles. You will be part of the team that creates and executes world-class exteriors in terms of form, function and luxury.
Using your considerable production design experience and innovative thinking, you will primarily be tasked with creating designs for future cars, but may also be called upon for other design tasks (interior, product, etc.) based on your skillset.
Sr. Interior Designer
As a Senior Interior Designer at Tesla, you will be responsible for the interior design development of future Tesla vehicles. You will be part of the team that creates and executes world-class interiors in terms of form, function and luxury.
Using your considerable production design experience and innovative thinking, you will primarily be tasked with creating designs for future cars, but may also be called upon for other design tasks (exterior, product, etc) based on your skillset.
Sr. Human Factors & Ergonomics Engineer
The successful candidate will have a proven track record of excellence and a thorough working knowledge of occupant packaging, human factors, ergonomics, and engineering design. Key objectives will be to achieve high spatial efficiency and excellent ergonomics whilst meeting all relevant legislative requirements. He/she will be a natural problem solver, intuitive 3D thinker, competent Catia V5 user, and capable of taking responsibility for the complete occupant package and ergonomic performance of future production vehicles.
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
