A former Tesla manager has filed a wrongful-termination lawsuit alleging that the company operated an understaffed Full Self-Driving testing programme in Houston, leaving exhausted employees responsible for vehicles travelling on public roads around the clock.
Javier Medrano, who managed Tesla’s Houston Full Self-Driving testing operations, claims the fleet became a collection of “rolling hazards on public streets” after Tesla expanded the programme without providing enough supervisors. The complaint was filed in federal court in Houston on July 27, 2026.
The allegations have not been proven in court, and Tesla had not publicly responded to requests for comment when the lawsuit was reported. Medrano filed the case without an attorney, meaning the complaint currently represents his account of the events rather than an established finding against the company. The central claims were detailed by Electrek in its report on the Tesla lawsuit.
One Manager Was Allegedly Responsible for 38 Vehicles
According to the lawsuit, Medrano began working for Tesla in 2023 and became the sole operational manager of its Houston Full Self-Driving testing market in 2024.
His responsibilities allegedly included reviewing camera footage, conducting weekly ride-alongs, investigating safety incidents and remaining available when problems occurred. Tesla’s Houston operation initially included approximately 15 vehicles and safety operators, but the programme reportedly expanded to 38 vehicles operating across three shifts.
Medrano claims Tesla had established a preferred safety-management ratio of one supervisor for every 15 operators. The Houston programme allegedly reached a ratio of 38 operators to one manager, even though comparable operations in other cities had several safety leads.
The lawsuit argues that one person could not adequately review footage, monitor operators and respond to incidents involving 38 vehicles running continuously. Medrano describes the result as a breakdown in safety oversight combined with extreme employee exhaustion.
Employees Allegedly Worked Up to 80 Hours a Week
The complaint claims that safety personnel commonly worked between 60 and 80 hours per week and remained available during weekends. Medrano alleges that his own workload prevented him from sleeping, eating and recovering properly.
He reportedly raised the problem with Tesla management in February 2025, explaining that he was struggling to meet the programme’s expectations. According to the complaint, a director responded that Medrano did not appear to be overwhelmed.
Medrano later sent what he described as an official “S.O.S.” request for additional leadership support and a brief period away from work. The lawsuit claims that Tesla did not provide the requested staffing and instead placed him under greater performance pressure.
An HR representative allegedly suggested placing his phone on Do Not Disturb rather than restructuring the round-the-clock responsibilities. These remain allegations from Medrano’s filing, and Tesla may contest the description of his workload, management discussions and job performance if it formally responds.
A Late-Night Crash Became the Breaking Point
The most serious allegation concerns an incident that occurred at approximately 2:05 a.m. on March 30, 2025.
The lawsuit states that a Tesla test vehicle struck a member of the public while Medrano was responsible for responding to safety incidents. Medrano claims he was so sleep-deprived that he answered the emergency call while physically asleep and later had no memory of the conversation.
He allegedly gave unsafe guidance to the safety operator, who remained at the scene for approximately an hour and was approached by a person described in the complaint as possibly impaired.
The filing does not establish that Tesla’s Full Self-Driving software caused the collision. Its focus is the alleged failure of the management and safety-response structure surrounding the test fleet. That distinction is important because the case is primarily a workplace-retaliation dispute rather than a product-liability claim brought by the person involved in the collision.
Medrano Says Tesla Fired Him for Raising Safety Concerns
Medrano claims that he formally escalated the staffing and safety problems after the crash. Tesla terminated his employment on May 1, 2025.
According to the lawsuit, management blamed him for failing to delegate his responsibilities. Medrano argues that delegation could not solve the underlying problem because Tesla had not assigned enough qualified managers to the Houston programme.
The complaint further alleges that Tesla promoted one of his subordinates and brought in two additional team leads from Dallas after firing him. Medrano presents that staffing decision as evidence that the extra support he had requested was necessary.
He is seeking reinstatement, back pay, front pay, compensation connected to an equity award that had not yet vested and damages for emotional and financial distress. Tesla may argue that Medrano was dismissed for legitimate performance reasons rather than retaliation, but its formal legal response was not available when the allegations became public.
Full Self-Driving Does Not Mean Fully Autonomous
The terminology surrounding Tesla’s technology can make the lawsuit appear broader than it is.
Tesla’s consumer system is officially called Full Self-Driving (Supervised). The company’s own Full Self-Driving support page states that the software requires active driver supervision and does not make a vehicle autonomous. It can assist with navigation, steering, lane changes, parking and other manoeuvres, but the driver must remain attentive and ready to intervene.
Test fleets may operate under different procedures, with trained safety operators gathering footage, identifying failures and helping engineers improve the software. The allegations suggest that human supervision remains important not only inside each vehicle but also within the operational structure reviewing incidents and managing safety personnel.
A vehicle may contain sophisticated artificial intelligence, but the testing programme still depends on trained people who can recognise dangerous behaviour, document failures and respond properly after an incident.
The Lawsuit Arrives During Wider Scrutiny of Tesla’s Technology
Medrano’s claims follow other reports questioning whether Tesla’s safety systems, testing practices and public statements accurately reflect the readiness of its technology.
A Reuters investigation into Tesla’s Full Self-Driving programme interviewed former data labelers and an engineer who said the software continued struggling with situations involving emergency vehicles, school buses, construction zones, pedestrians and animals. Reuters also found that traffic-safety researchers questioned the methodology Tesla used when comparing its crash figures with national statistics. Tesla did not answer the detailed questions submitted for that investigation.
The National Highway Traffic Safety Administration has also investigated cases in which vehicles allegedly violated traffic rules while Full Self-Driving was engaged. One official investigation cited complaints and crash reports involving conduct such as failing to stop correctly or travelling into opposing traffic. NHTSA describes the investigated system as driver assistance that requires a fully attentive driver. The agency’s details are contained in its official Full Self-Driving investigation document.
The existence of an investigation does not prove that every Tesla using the software is unsafe. It indicates that regulators consider the reported incidents serious enough to require further examination.
Why Staffing Matters in Autonomous-Vehicle Development
Automated-driving safety depends on more than cameras, neural networks and computing hardware. It also depends on the quality of the people and processes surrounding the technology.
Human operators must intervene when software behaves unexpectedly. Managers need enough time to review unusual incidents and determine whether a problem reflects driver error, system limitations, road conditions or inadequate procedures. Engineers then need reliable information to correct the underlying behaviour.
When supervisors are responsible for too many vehicles, potentially important footage may not receive sufficient review. When employees work extremely long hours, reaction time, judgement and memory can deteriorate. A safety programme intended to identify rare but dangerous failures can become less reliable when its own staff are exhausted.
The lawsuit therefore challenges Tesla’s ability to scale its operational safeguards alongside its vehicle fleet. Rapidly adding cars is considerably easier than recruiting, training and supporting enough people to monitor them responsibly.
The Case Does Not Yet Prove Tesla’s Vehicles Are “Rolling Hazards”
The phrase used in the lawsuit is powerful, but it remains part of Medrano’s legal argument.
The complaint does not independently establish that all Tesla Full Self-Driving vehicles are dangerous or that the software caused the Houston crash. It alleges that Tesla created unsafe testing conditions by assigning too much responsibility to too few employees and retaliated when the programme’s manager raised concerns.
Court filings, Tesla’s response, internal records and witness testimony will determine whether those allegations are supported. The case could be dismissed, settled or proceed through further litigation.
Its significance lies in where the criticism originated. Instead of coming from a consumer, regulator or crash victim, it comes from the individual who says he was placed in charge of supervising a major testing operation.
If Medrano’s claims are substantiated, the lawsuit could suggest that Tesla’s greatest self-driving challenge is not limited to perfecting artificial intelligence. It may also involve building the human safety infrastructure required to test that intelligence without creating additional risks on public roads.
