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Tesla is giving high school grads Gigafactory jobs as apprenticeship program enters 3rd year
At Tesla’s Gigafactory 1 in Sparks, Nevada, local high school graduates have had the opportunity since 2017 to participate in two-year apprenticeships hosted by the electric vehicle manufacturer. As the program heads into its third year, the company is searching for 50-60 juniors and seniors to take part in the full-time hours, full-time benefits opportunity combining hands-on manufacturing job training with personal development support. Tesla has a history of investing in its local communities, making this program yet another nod to their commitment to embracing those supporting their mission of driving towards a sustainable energy future.
High school graduates in the program will primarily learn to build electric batteries and motors for Tesla’s product lines, but also included in the Reno Gigafactory apprenticeship is a 20-credit educational program through Truckee Meadows Community College, a local school. Additionally, personal and financial development classes and workshops are offered as well as reserved housing, all at the pay rate of $17 per hour with full employee benefits. The hours at the factory accommodate the educational schedule – each week alternating three 12-hour shifts and four 10-hour shifts.
There’s no guarantee of a permanent Tesla job at the end of the program, but according to Chris Reilly, head of workforce development and education programs at Tesla, several students from the completed programs have already been hired. Also, the skills acquired provide students with the ability to continue growing in similar industries or vocations. In 2018, 54 Nevada students were selected to participate.

The Gigafactory 1 apprenticeship program began as a pilot in 2017 wherein 13 high school graduates were brought on board to participate. Vocational robotics programs at a Las Vegas technical school inspired the concept, and Tesla has since turned their program model into a framework for others in the manufacturing industry to use as an example. Overall, it’s a win-win for both students and companies – job skills and development in exchange for a potential source of a ready-trained workforce. “The thought was: As we grow from a small team out in Northern Nevada to thousands of employees, how do we build sustainable pipelines,” Reilly explained to a local reporter during an informational session hosted at Las Vegas High School last week.
The process of participating in Tesla’s apprenticeship seems fairly straight forward: Students apply as juniors and seniors, tour the Gigafactory, and then split off into two groups – juniors take resume-writing workshops and seniors are interviewed for positions in the program. If selected for the program, graduating seniors move into Tesla-reserved housing in the Reno area and begin.
The apprenticeship program isn’t Tesla’s first investment into Nevada’s student population – the carmaker has pledged to donate $37.5 million dollars to Nevada schools as part of a Gigafactory Incentive Deal. An initial grant of $1.5 million for K-12 programs went out last summer to FIRST Nevada, a robotics and STEAM (science, technology, engineering, art, mathematics) focused non-profit, and the Robotics Education and Competition Foundation, an initiative to enable schools to establish premier robotics programs, among other technology-focused educational efforts. In early 2018, Gigafactory 1 hosted local 6th grade students for Introduce a Girl to Engineering Day, an initiative aiming to foster and support the interest of young women in the engineering field.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.