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Tesla starts hunt for team that will work its humanoid “Tesla Bot”

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During AI Day, Tesla announced its plans to make a humanoid robot that could perform tasks that are generally repetitive, dangerous, or boring. Recently, Tesla posted jobs on its Careers page for the humanoid robot, hinting at how serious the EV maker is about the project.

Elon Musk announced that Tesla aims to unveil a prototype of the Tesla Bot in 2022. With only a few months left of 2021, Tesla isn’t wasting time on the Tesla Bot prototype, and the company’s Careers page reflects that.

Tesla has posted at least four jobs on its Careers page that directly link to the Tesla Bot. Overall, there are four jobs posted for humanoid robots, all of which are located in Palo Alto, CA.

Tesla wants to fill two mechanical engineer jobs, one of which focuses on actuator gear designs and systems. The other mechanical engineer job concentrates on the mechanical design and the integration of the actuator components of the Tesla Bot.

Tesla also opened up two jobs for a senior humanoid mechatronic robotic architect and a senior humanoid modeling robotic architect. Both positions call for someone to help the humanoid robotics modeling team build a Tesla Bot that can support manufacturing operators in “tedious and exhaustive tasks.”

“For the Tesla bot, it’s going to start with work that is boring and repetitive. Basically, work that a person would least like to do,” said Elon Musk during AI Day.

The architect job listings suggest that Tesla believes its humanoid robot could help with manufacturing.

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The responsibilities of each job are listed below:

Mechanical Engineer – Actuator Gear Design (Humanoid Robot)

  • Design and integration of rotary and linear speed reduction systems for high performance motion control actuator applications.
  • Collaboration with electromagnetic motor design engineers to develop the most torque dense and efficient electromechanical actuator systems in the world.
  • Continuously evaluate new technologies and design improvements to develop the most power dense, efficient, low cost, and reliable electromechanical gear systems and actuators.
  • Design and build motor, gear, and actuator prototypes for the validation of mechanical and electromechanical performance.
  • Basic fabrication, machining, wiring, general electronics, debugging, and parts chasing.
  • Collaboration with supply chain, vendor, and manufacturing engineers.

Mechanical Engineer – Actuator Integration (Humanoid Robot)

  • Mechanical design and integration of rotary and linear electromechanical actuators.
  • Collaboration with electromagnetic motor design engineers to develop the most torque dense and efficient electromechanical actuator systems in the world.
  • Design and integration of rotary and linear speed reduction systems for high performance motion control actuator applications.
  • Collaboration with supply chain, vendor, and manufacturing engineers.
  • Continuously evaluate new technologies and design improvements to develop the most power dense, efficient, low cost, and reliable electric motors and actuators.
  • Design and build motor and actuator prototypes for the validation of mechanical and electromechanical performance.
  • Basic fabrication, machining, wiring, general electronics, debugging, and parts chasing.
  • Strong skills in CAD (CATIA, NX, Inventor, Solid Works, etc.).
  • Programming skills in Matlab/Simulink are preferred.

Senior Humanoid Mechatronic Robotics Architect

  • Robot modelling architecture
  • Conceptual design of biped robots
  • Accurate modeling of kinematic chains
  • Abstraction and conversion of joint mechanisms into rigid body trees
  • Physics/model representations of joints, limbs
  • Design and support of new mechanism
  • Measurement and matching of model and simulation
  • Complex controls simplification for fast analysis

Senior Humanoid Modeling Robotics Architect

  • Robot modelling architecture
  • Conceptual design of biped robots
  • Accurate modeling of kinematic chains
  • Abstraction and conversion of joint mechanisms into rigid body trees
  • Physics/model representations of joints, limbs
  • Design and support of new mechanisms
  • Measurement and matching of model and simulation
  • Complex controls simplification for fast analysis

The Teslarati team would appreciate hearing from you. If you have any tips, reach out to me at maria@teslarati.com or via Twitter @Writer_01001101.

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.

Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.

The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.

The intervention is meant as a last-resort safety net, not a replacement for attentive driving.

Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.

After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.

The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.

Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.

The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.

If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.

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Tesla Cybercab launch catches NHTSA’s attention who wants to know more

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(Credit: Teslarati)

Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.

The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.

NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.

Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)

However, the agency needs more information; it said in a summary:

“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”

It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:

“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”

Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.

Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.

In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.

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Tesla Cybercab is coming to Asia this month as US service officially begins

Tesla Asia says Cybercab will be on display in Hong Kong, Tokyo, Beijing and Shanghai this month.

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Concept image of Tesla Cybercab in the streets of Hong Kong via Grok
Concept image of Tesla Cybercab in the streets of Hong Kong via Grok

Tesla’s Cybercab is heading to Asia. The official Tesla Asia account posted on X Thursday, inviting Cybercab fans to “Come experience the future of autonomy in Hong Kong, Tokyo, Beijing & Shanghai.” The post went up within hours of Tesla’s own Cybercab milestone in Texas, where the company said Thursday it had begun offering rides in across Austin.

Exact dates and venues for the Asia tour haven’t been released yet, though Tesla Hong Kong replied to the announcement with “Cybercab will be on display in Hong Kong soon,” while Tesla Japan’s response pointed fans to a sign up page for updates. Neither post mentions test rides or a service area, and nothing so far suggests Tesla is launching Robotaxi operations in any of the four cities. Based on how Tesla has run past Cybercab tours, in Europe in late 2024 and at US shopping centers that same December, the Asia stops are almost certainly static displays at Tesla stores or public venues as a means to stimulate buzz for its future driverless ride-hailing service in the big cities.

The timing lines up with Tesla’s only prior Cybercab appearance in the region, a booth at the China International Import Expo in Shanghai last November, which Teslarati covered at the time. At that event, Tesla’s regional general manager for Shanghai framed the car as evidence of the company’s broader mission, a message Tesla has since formalized in its Master Plan Part IV, which states that “autonomous vehicles have the capacity to dramatically improve the affordability, availability and safety of transportation while reducing pollution, particularly in our increasingly dense global cities.” The same document is where Tesla lays out its “sustainable abundance” framing for Cybercab and Optimus alike, describing the two as the hardware behind an AI driven push to cut the cost of transportation and labor at scale.

Whether Cybercab actually operates as a robotaxi anywhere in Asia remains an open question, considering China has already pushed an autonomous ride-hailing market that’s run on homegrown players like Baidu’s Apollo Go and Pony AI. For now, the four city tour reads as a marketing push timed to Austin’s momentum.

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