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GM looks to close gap from Tesla with sizable EV tech hiring ramp
General Motors has announced that it will begin hiring 3,000 new employees across engineering, design, and information technology through Q1 201 in an attempt to begin preparing for a massive transition to produce all-electric vehicles.
In a press release from November 9th, GM announced its intentions to hire new talent that could introduce fresh ideas and innovative designs as the company begins to prepare for the “development of autonomous and electric vehicles and advanced platforms like the Ultium battery system.” The plan intends to increase GM’s efficiency as it transitions to new powertrains and vehicle types while keeping costs low to allow for affordable models for customers.
GM to hire 3,000 people to work on future products and "software as a service". Company expects an inflection mid-decade where public demand for EV's will increase, and with it, will come greater demand for software related services. $GM
— Phil LeBeau (@Lebeaucarnews) November 9, 2020
“As we evolve and grow our software expertise and services, it’s important that we continue to recruit and add diverse talent. This will clearly show that we’re committed to further developing the software we need to lead in EVs, enhance the customer experience, and become a software expertise-driven workforce,” GM President Mark Reuss said.
GM’s first steps in refining their new EV project involve developing and integrating “world-class software and services” that will increase the company’s vision for the future. This includes zero crashes, zero emissions, zero congestion, the press release says. There will be no shortage of employment opportunities. Everything from electrical engineers to infotainment software developers is being sought out by the legacy automaker, building onto the already-existing GM platform.
- General Motors announced Monday, Nov. 9, 2020 it will hire 3,000 new employees across engineering, design and IT to help transform the future of product development and software as a service. GM will offer more remote opportunities than ever before as development of autonomous and electric vehicles and advanced platforms like the Ultium battery system continue at a fast pace. GM Software Automation Engineer Daniel Heintzel works with a telematics robot Wednesday, September 19, 2019 at the GM Infotainment Lab in Warren, Michigan. This facility now follows GM-mandated guidelines to help protect against the spread of COVID-19, including mandatory use of face masks and social distancing. (Photo by John F. Martin for General Motors)
- General Motors announced Monday, Nov. 9, 2020 it will hire 3,000 new employees across engineering, design and IT to help transform the future of product development and software as a service. GM will offer more remote opportunities than ever before as development of autonomous and electric vehicles and advanced platforms like the Ultium battery system continue at a fast pace. GM Software Test Engineer Shashank Lakshmikanth conducts connectivity checks and stress tests Wednesday, September 19, 2019 at the GM Infotainment Lab in Warren, Michigan. This facility now follows GM-mandated guidelines to help protect against the spread of COVID-19, including mandatory use of face masks and social distancing. (Photo by John F. Martin for General Motors)
- General Motors announced Monday, Nov. 9, 2020 it will hire 3,000 new employees across engineering, design and IT to help transform the future of product development and software as a service. GM will offer more remote opportunities than ever before as development of autonomous and electric vehicles and advanced platforms like the Ultium battery system continue at a fast pace. GM System Bench Lead Engineer Radha Iyer performs tests at the full system bench Wednesday, September 19, 2019 at the GM Electrical Integration Lab in Warren, Michigan. This facility now follows GM-mandated guidelines to help protect against the spread of COVID-19, including mandatory use of face masks and social distancing. (Photo by John F. Martin for General Motors)
Additionally, GM plans to improve upon its Vehicle Intelligence Platform, which includes its Tesla Autopilot rival, Super Cruise, a driver assistance feature. Recently, Consumer Reports controversially ranked Super Cruise above Tesla’s Autopilot, stating that the Elon Musk-headed company was a “distant second” compared to General Motors’ software.
GM has adopted a somewhat opened-mind regarding EVs and alternative forms of energy for passenger transportation. It has unveiled its Hummer EV, which will bring both the Tesla Cybertruck and the Rivian R1T some competition in the electric pickup truck market. However, some are still skeptical about GM’s total commitment to a full EV transition.
While the legacy automaker has committed to building 20 new fully-electric cars by 2023, it has also stated that it plans to allocate more than $20 billion of capital and engineering resources to its future EV programs through the next five years.
Elon Musk
SpaceX wants to catch Starship for launch 14, Elon Musk says
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
News
Tesla to open source Model S and Model X designs and software
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
News
Tesla flexes incredible Robotaxi metric that skeptics will hate
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.


