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Tesla sued by female engineer over allegations of “pervasive harassment”
Tesla has been sued by a female engineer who alleges that a climate of “pervasive harassment” has impeded her career advancement. This lawsuit is one more in a series of recent accusations by females against Silicon Valley technology companies.
Update: Tesla issues an official response to the lawsuit
AJ Vandermeyden, 33, whose career at Tesla began in 2013 and continues today, has come forward at a time when nondisclosure statements prohibit most internal accounting of technology sector working conditions. Among Vandermeyden’s claims are a lower salary than males at comparable job assignments, promotions based on gender rather than qualifications, and a cultural climate where a female who raises concerns becomes the object of internal human resources scrutiny.
Her complaints include male co-workers engaging in sexual harassment that goes unaddressed by human resources. Vandermeyden insists she is dedicated to Tesla, which is part of her motivation for coming forward to advocate for fair treatment and reforms. The engineer owns a Tesla Model S and has a reservation for the upcoming Tesla Model 3. “Until somebody stands up, nothing is going to change,” she said in a recent interview to The Guardian about the discrimination lawsuit she filed last year. “I’m an advocate of Tesla. I really do believe they are doing great things. That said, I can’t turn a blind eye if there’s something fundamentally wrong going on.” She acknowledges that she may face serious risks for making the public aware of her lawsuit against Tesla.

AJ Vandermeyden sits in her Tesla outside her family’s home in San Carlos, California. Photograph: Ramin Talaie for the Guardian
Vandermeyden’s lawyer, Therese Lawless, states that many females in similar positions choose not to speak up. “It’s very difficult for women to come forward. They’re concerned that their career is going to be hindered or jeopardized.”
Vendermeyden moved up through the Tesla ranks to a manufacturing engineering position in the general assembly department, where she was paid less than the male engineers whose position and responsibilities she had assumed. This structure of strong relative percentages wages of males to females is typical throughout the Tesla organization, where its highest paid and most prestigious positions are held by males, with only two out of thirty vice-presidents self-describing as female. In Vandermeyden’s case, it was common for her to be the only female in meetings with forty to fifty males.
She outlined how this male-centric Tesla workplace can be hostile to women and dismissive when discussions around barriers to female workplace equality are raised. The response, she says, is often: “‘We’re focused on making cars. We don’t have time to deal with all this other stuff.’”
The complaint, which was filed in autumn, 2016, alleges that, although Vandermeyden designed a solution to compensate for inadequacies in vehicle quality testing which had been overlooked by supervisors and male engineers, she was not recognized for her problem-solving at the time of performance reviews. Instead, her lawsuit claims that Tesla retaliated against her for being a “whistleblower” when she raised concerns about these cars “sold in a defective state.” The result? Males were granted positions above her, according to the complaint, which her lawyers indicate is a pattern in which she and other female engineers were denied promotions even though they were “equally or more qualified” than the males. The lawsuit outlines how Tesla denied her overtime pay, rest breaks, and meal periods when she worked in sales, as well.
She also experienced “unwelcome and pervasive harassment by men on the factory floor including but not limited to inappropriate language, whistling, and cat calls,” the lawsuit says. Objections about sexual harassment, which she raised in 2015, went unheeded. Instead, Vandermeyden was told that, in order to advance her position, she must achieve what she felt was an unattainable factory performance standard, one that was not expected of male engineers. Despite the positive performance evaluations she received, Vandermeyden concluded that her best opportunities for career advancement and overcoming institutional barriers were to transfer to the purchasing department, her current position at Tesla, Inc.
Tesla is not alone in its alleged imbalanced gender culture. Tensions at Uber emerged last week when former engineer Susan Fowler wrote a blog post in which she chronicled a year of work at Uber. In that narrative, she described a chaotic internal culture, a human resources department that made excuses for sexual harassment, frequent episodes where victims were blamed, and a pattern of promotions based on insider preference rather than data-driven performance. Uber CEO Travis Kalanick this week addressed a group of 100+ Uber female engineers to listen to their concerns. Kalanick offered some concessions during his meeting with the female engineers. “So I empathize with you, but I can never fully understand, and I get that. I want to root out the injustice. I want to get at the people who are making this place a bad place. And you have my commitment to make that happen.”
Vandermeyden says, “It’s shocking in this day and age that this is still a fight we have to have.” Her statement acknowledges that any company with more than 30,000 employees will necessarily have a small number of individuals who make claims against the company. Yet, “that does not mean those claims have merit,” the statement adds. “Equal pay is something that is essentially in the back of your mind every single day. You have all these data points showing how you’ve exceeded some of the predecessors and improved on the system. It wears on you.”
Tesla CEO Elon Musk found himself embroiled in another employment controversy earlier this month in which an employee complained of unfair working conditions and discussed how other workers have approached the UAW about possible unionization. Musk used Twitter to wonder aloud whether that complainant was fact or fake news, a Tesla employee or a UAW shill.
Vandermeyden admits she wonders about her future at Tesla. “Half the time when I walk into work, I wonder if my badge is going to work.”
Elon Musk
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.