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Elon Musk’s Tesla, SpaceX top list of most attractive employers for engineering students
Employer branding specialist Universum has released its 2019 rankings for the most attractive employers in the United States. Based on the firm’s findings, which were tabulated from a survey of tens of thousands of students from hundreds of universities, it appears that two of Elon Musk’s companies, SpaceX and Tesla, are perceived by engineering students as the best employers in the country.
SpaceX, Elon Musk’s private space company, was dubbed by engineering students as the No. 1 employer they wish to work for, dethroning NASA, which topped last year’s rankings. Among the respondents of Universum’s survey, 20.7% of engineering students listed the disruptive space firm among their Top 5 ideal companies. SpaceX moved up significantly in this year’s rankings too, as the company was ranked No. 3 in the branding firm’s survey in 2018.
Tesla stood proudly at No. 2 in Universum’s rankings, with18.7% of engineering students listing the electric car maker as one of their Top 5 ideal employers. Tesla was also ranked 2nd in the branding firm’s 2018 surveys, which all but highlights the strength of the company’s brand. This is all the more impressive if one were to consider the noise from skeptics surrounding the company, which have largely dominated the news cycle around Tesla for the past months.
Both Tesla and SpaceX are known for being workplaces that are incredibly challenging. During the early days of SpaceX, the company’s recruiting pitch was simple: it was the “special forces” in the space industry. This pitch, which all but highlights the hard work and dedication required of all SpaceX employees, all but became a beacon that attracted the most dedicated workers. As history would show, being special forces has its merits, as SpaceX currently offers employees the opportunity to work for a company that quite literally is leading the private space race.
Tesla, for its part, is known to be just as challenging as SpaceX. While one could argue that electric car manufacturing is not as complicated as rocket science, the sheer scale of Tesla’s operations is enough to keep every employee busy. As noted by a study from Handshake, a student career-services app, last year, this intense work culture is actually among the reasons why applicants consider the electric car maker as an attractive place of employment.
One common denominator between SpaceX and Tesla that is likely compelling for job-seekers is CEO Elon Musk, whose style of leadership is equal parts daunting and inspiring. While Musk is known to be a leader who demands a lot from his employees, he is also a leader that prefers to stay in the front lines. During the challenging days of Tesla’s Model X and Model 3 production ramps, Musk slept in the company’s Fremont factory, just so he could address any issues in the facility as they arose. Anecdotes from the Tesla community during the construction of GA4 also indicate that Musk was among the workers torquing bolts in the new Model 3 assembly line.
This extends to Musk’s use of Tesla’s technologies as well. As indicated in a report from The Information that featured accounts from members of Tesla’s Autopilot team, Musk uses himself as a test subject for the company’s driver-assist software. Musk’s personal vehicle is loaded with pre-released “development build” Autopilot versions, which allow him to push the driver-assist software to its limits. This practice has allowed Tesla to quickly spot Autopilot’s areas for improvement, though according to the publication’s sources, it has also resulted in Musk finding himself in “situations that many of us wouldn’t want to be in.”
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Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
