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SpaceX posts first BFR-dedicated job posting – wanna build a Mars rocket?
SpaceX has published the first job posting specifically dedicated to BFR, the company’s ambitious fully-reusable Mars rocket and multipurpose launch vehicle. Currently targeting the first half of 2019 for initial hop tests with a prototype spaceship (upper stage) and 2020 for the first full-up orbital tests of the booster and ship. Job postings specific to BFR signify the beginning of serious R&D expansion and acceleration.
Since its announcement in September 2017, SpaceX has made slow but steady (visible) progress on its path to integrated BFR prototype production, including the construction of a giant temporary tent, the successful lease of a large plot of land intended to support the first dedicated BFR factory at Port of Los Angeles, and accepted shipments of massive tooling that will be used to construct the huge rocket’s first carbon composite propellant tanks.
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- Lots of cars at the BFR tent. This also provides a sense of scale for the tent’s absolutely massive access flaps. (Pauline Acalin)
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- SpaceX’s first major BFR and BFS fabrication tooling, likely being stored temporarily in a tent at Port of San Pedro. Note the tent framework at the top. (Elon Musk)
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- Images corroborated the location of the giant mandrel tool inside the Port of San Pedro tent, April 2018. (Pauline Acalin)
First revealed in 2016 in the form of the 33% larger Interplanetary Transport System (ITS), CEO Elon Musk provided a second update in 2017 that showed an optimized, smaller rocket with all the same goals, known as BFR (Big F- Rocket). The rocket’s main propulsion, a methane and liquid oxygen-fueled engine known as Raptor, also saw its 2016 targets lowered partially, dropping its targeted maximum thrust to about double (from 3000 kN to 1700 kN) the current Merlin 1D engines powering the Falcon family.
Tellingly, the job posted on Monday, June 11, sounds very similar to those posted for equivalent engineering positions with Falcon 9 and Dragon. Titled “BFR Build Engineer”, the listing describes many of the same skills and tasks prospective employees would expect to find if hired, with most focused on SpaceX’s culture of constant improvement. The same is expected from build engineers and engineers, in general, focused on SpaceX’s current operational launch vehicles and spacecraft, strongly suggesting that the BFR effort is taking its very first steps from an experimental research program to something more akin to an operational branch of the launch company.
What is definitely new is the specific focus on expertise with advanced forms of welding, particularly with joining distinct composite and metal components, as will be required throughout BFR.
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- SpaceX’s subscale Raptor engine has completed more than 1200 seconds of testing in less than two years. (SpaceX)
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- Shown here is a prototype of the original 12m diameter ITS tankage. BFR’s tanks will be 25% narrower, and thus easier to manufacture. (SpaceX)
Read the best parts of the job listing below:
“The BFR (Big Falcon Rocket) is a massive next generation launch vehicle and spacecraft designed to carry [hu]mankind to the moon, Mars, and beyond. Also capable of flying humans from Los Angeles to New York in 25 minutes, the BFR will eventually replace the current Falcon 9, Falcon Heavy, and Dragon programs as the primary vehicle for all SpaceX missions.”
“The goal of this team is to investigate, test, and develop new hardware, software, and automation efforts capable of supporting advanced metallic and composite joining methods for the BFR. Focusing on friction stir welding, EB [electron-beam] welding, and composite tank lamination, the BFR Build Engineer is responsible for delivering results on critical projects with a highly demanding and fast-paced schedule”
- Drive the technology development for manufacturing cryogenic composite tanks through research, mechanical/destructive testing and sub-scale manufacturing
- Work closely with vehicle analysts and manufacturing team to ensure solutions meet the requirements for vehicle design as well as the manufacturing processes
- Partner with engineering & production teams to generate ideas, designs, and improvements for current and next-generation vehicles
- Strong background in composite structures with knowledge of automated fiber placement, autoclaves and composite design criteria
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
