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SpaceX’s Starship/Super Heavy rocket needs a launch pad and work is already starting
According to SpaceX job posts published early this month, the company has already begun the process of looking for the engineer or engineers that will be responsible for preparing both Starship/Super Heavy and its prospective pad facilities for the rocket’s inaugural launches.
Per one of those posts, Starship/Super Heavy’s “initial launch capability” will be achieved at Kennedy Space Center’s historic Launch Complex 39A (also known as Pad 39A), a facility SpaceX has leased since 2014 and launched from since 2017. Originally constructed in the 1960s to support Saturn V, the largest operational US rocket ever built, Pad 39A spent another three decades supporting dozens of Shuttle launches until the latter was also retired, after which SpaceX took over the historic facility. Although SpaceX has specifically discussed plans to ultimately turn its South Texas outpost into a full-fledged orbital launch site, that will be an extremely slow and expensive endeavor and Pad 39A makes sense for several reasons.
Building rocket launch facilities is hard
Even though SpaceX has still tended to aggressively outperform its competitors and peers, the process of building a new launch complex from scratch is extremely challenging. For example, after SpaceX suffered a catastrophic failure of Falcon 9 at Pad 40 (LC-40) in September 2016, the company had to conduct extensive refurbishment and even tacked on some pre-planned upgrades. Still, a large portion of the pad remained intact, including the flame trench (with minor damage), hangar facilities, and more.
Ultimately, it took SpaceX more than 10 months and $50M to repair, rebuild, and upgrade LC-40. The biggest single ticket item was likely the new transporter/erector and its associated launch mount and water deluge system, followed by new plumbing and communications infrastructure throughout the pad. By far the most time-consuming and expensive process, however, is laying a foundation for the launch pad itself, most of which SpaceX was able to skip at Pad 40 after some relatively minor repairs and modifications.
Although Blue Origin is as tightlipped as space startups come, owner Jeff Bezos has indicated that the companies large-scale LC-36 pad – built from a clean slate – was part of an overall investment of “more than $1 billion”. That is split between LC-36, a new factory, and a more general-use campus in and around Cape Canaveral, Florida. Building a factory is even more expensive than launch facilities, so the overall cost of building LC-36 from scratch is likely somewhere between $150M and $300M, although it could be even more expensive.
LC-36 is being built for New Glenn, a rocket that will produce roughly 75% as much thrust as Falcon Heavy and ~25% as much thrust as Starship’s Super Heavy booster at liftoff. This is all to make a simple point: if SpaceX means to do so, building a new Super Heavy-class launch pad at Boca Chica is going to take a bare minimum of a year and $100M+ (assuming Blue Origin has been somewhat inefficient, as usual). SpaceX’s current setup is unambiguously dedicated to far lower-thrust Starhopper (and maybe Starship) test flights, whereas an orbital launch complex capable of surviving Super Heavy liftoffs would be at least 5X larger and involve extensive foundation-laying and far more concrete.
All things considered, it’s thrilling that SpaceX is already in the process of designing and – soon – constructing the launch complex (or add-on hardware) that will support the first suborbital and orbital launches of Starship and Super Heavy. Per the aforementioned Launch Engineer job post, it seems all but certain that visible work at Pad 39A could begin at any moment, regardless of whether SpaceX has plans to subtly modify the existing 39A facilities or build something entirely new within its borders.
According to SpaceX VP of Commercial Sales Jonathan Hofeller, “the goal is to get orbital as quickly as possible, potentially even this year, with the full stack operational by the end of next year and then customers in early 2021.” In short, Starship and Super Heavy-compatible launch facilities are going to be needed at 39A (and, eventually, Boca Chica) far sooner than later. Even if it’s likely that the vehicle development will suffer delays that could push Starship’s orbital launch debut into 2021 or beyond, launch pad design and construction is challenging and slow but still fairly predictable. and it is certainly better to be early than to be late. In short, the next 12 months are going to be wild.
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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
