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SpaceX’s Starlink internet a step closer to customers as “user terminal” hiring ramps up
As SpaceX prepares to kick off an aggressive Starlink launch campaign in the next month or two, the company is also aggressively hiring build teams that will engineer and mass-produce crucial ground-based hardware, ranging from ground stations and mobile applications to the “user terminals” that will go in customer homes.
The proposed Starlink satellite internet constellation will be comprised of up to 12,000 satellites in low Earth orbit (LEO) and is designed to provide low latency high-speed broadband internet service the world over. Company CEO Elon Musk has previously discussed that a major focus of the constellation would be to provide reliable and fast internet service to rural and remote locations where existing service may be far too expensive or unreliable.
Over the last 6-12 months, an array of job listings have advertised well over a hundred new positions related to Starlink, with a recent trend towards prioritization of user terminal production at SpaceX’s Hawthorne, CA headquarters. SpaceX is also looking to expand its software development workforce to mature the software needed for user terminals and create a range of other customer-facing products, including a “Starlink Mobile” app for both Android and iOS devices.
Similar to current satellite TV and internet solutions, SpaceX’s Starlink internet service will require ground-based receivers – “user terminals” – at their location of use. By all appearances, SpaceX may also have plans to integrate a WiFi router directly into the terminal to make the user experience as seamless as possible, but it’s just as likely that SpaceX will simply include ports for users to connect their own routers. Musk has previously stated that the user terminals will use phased arrays antennas that will allow them to stay motionless on the ground while electronically ‘steering’ to ensure the best possible satellite connection.
The user terminals will be the connect-all hardware point that will “sit in (Starlink) customers’ homes” to “bridge the gap between OS software, flight software, antenna software, and modem software.” Presumably, the User Terminals will be far more advanced than current access modems and will also encompass a router that would allow satellite wifi service throughout the area of access. Past statements indicate that SpaceX intends for the terminals to be roughly the size of a small pizza box.
In line with user terminal planning, SpaceX has also begun hiring developers for a Starlink Mobile application. This will enable customers to enjoy “a seamless experience managing their accounts and internet access”, presumably offering something akin to the experience that current Tesla customers have with Tesla’s mobile apps.
The current Tesla app is a comprehensive experience that allows user monitoring and customization of every aspect of their Tesla products inclusing vehicles and Powerwall energy systems. The experience guides the user from set-up to everyday use of their various Tesla products.
From the senior software engineer job listing, it can be assumed that the Starlink Mobile app will be comparable to the Tesla app. The advertised position will “bring to life the mobile portal into Starlink.” It’s very likely that the Starlink Mobile app will allow the user to monitor device connections, download and upload speeds, and other customer-specific experiences such as account access and billing. The app will be built completely in-house and from the ground up to ensure that it is specified and tailored to meet the various requirements of a comprehensive and quality customer experience.
SpaceX is expected to ramp up the development and manufacturing of all Starlink supportive ground systems within the coming weeks and months. The advertised positions are all located in California – the software development and manufacturing of User Terminal Teams based in Hawthorne while the mobile application software engineer position is located in Los Angeles.
According to President and COO Gwynne Shotwell, SpaceX aspires to launch 2-4 more missions in 2019 and as many as 24 dedicated Starlink missions in 2020 alone, roughly translating to a Starlink launch ever two weeks. Customer launches would occur in the interim and SpaceX has made it clear that customers will come first, with Starlink missions then filling in the gaps left in SpaceX’s commercial manifest.
SpaceX ultimately believes that it can begin serving customers after as few as 6-8 launches with 60 Starlink satellites apiece, while initial global coverage will require 24 launches. Beyond those milestones, more launches (involving anywhere from 10,000 to 40,000+ additional satellites) would simply add bandwidth and allow SpaceX to expand its customer base and distribute additional capacity based on demand.
SpaceX’s next two Starlink missions are scheduled to launch no earlier than mid-November and December 2019.
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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
