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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’s two defunct flagship models are getting a big upgrade

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Tesla’s two recently-defunct flagship models, the Model S and Model X, are getting a big upgrade, according to the company’s Head of AI, Ashok Elluswamy.

Older Hardware 3 Model S and Model X vehicles have been the last major holdouts in Tesla’s Full Self-Driving v14 Lite rollout, and that wait now appears to be ending.

Tesla brings closure to flagship ‘sentimental’ models, Musk confirms

At Tesla’s Cybercab launch, AI chief Ashok Elluswamy told Ryan McCaffrey that he thought the S and X build “was supposed to go out last week.” Evidently, Elluswamy expects the suite to be rolled out to those HW3 Model S and Model X very soon:

Those cars are not the current Model S and Model X, which already ship with Hardware 4. They are the pre-refresh flagships built around Tesla’s older Autopilot computer, often called HW3 or AI3.

Tesla stopped putting that computer in new vehicles years ago, which is why owners treat these S and X cars as a closed generation. Model 3 and Model Y vehicles on the same computer began receiving v14 Lite in late June 2026 and saw a wider North American expansion in July. South Korea followed as an early international market. The S and X versions of the same software never joined that wave.

v14 Lite is Tesla’s way of squeezing the current v14 driving stack onto hardware that cannot run the full AI 4 model. The company describes the process as distillation: behaviors learned on the newer computer, including reinforcement learning and offline models, are compressed so the older chip and cameras can use them as a guide.

Early descriptions put the distilled network at roughly 15 percent of the original size. The result is still supervised Level 2 driving. Tesla has been clear that HW3 cannot support unsupervised Full Self-Driving or robotaxi operation because of memory and bandwidth limits.

The feature list is what made the wait so frustrating for S and X owners, as plenty of new features are to be shipped with it.

Official notes for the first Lite build, firmware 2026.20.5.1, added parking, unparking, and reversing; arrival options for a parking lot, street, driveway, or curbside; speed profiles that stay available at all times; and start-from-park engagement. Tesla also claimed better handling of merges, forks, pedestrians, traffic lights, and cut-ins, plus fewer false slowdowns and smoother lane centering.

A mid-July follow-on build, 2026.20.6.10, added more of the Hardware 4 interface, including a standalone Self-Driving app and the ability to start a trip from Park without a brake-pedal confirmation.

Elluswamy called that version the one “likely going to wide release.”

That wide release already reached most other HW3 cars in the United States and Canada. International timing still depends on regional validation and regulatory approval. For S and X owners, the remaining work appears to be model-specific validation rather than a new software stack.

There is no official Tesla changelog or build number for those two models yet, only Elluswamy’s offhand timeline. Some HW3 drivers who already have Lite report large gains over v12.6; others have described new indecision or phantom braking. The next test will be whether the same software lands cleanly on the older flagships that have waited the longest.

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This tiny Tesla Cybertruck adjustment has big advantages

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Credit: Wes Morrill | X

Yesterday, we reported on Tesla Cybertruck getting some major adjustments from a manufacturing standpoint in an effort to make the all-electric pickup more cost-effective, more reliable, more serviceable, and more easily produced.

Tesla Cybertruck engineer reveals new changes in ‘constantly evolving’ pickup

One of those changes was the addition of a self-reinforcing polypropylene aero shield that sits underneath the truck. Previously, Tesla utilized aluminum for this, but the self-reinforcing polypropylene was more durable while also being cheaper and lighter.

Tesla has revealed another small change it made to the Cybertruck, and it has to do with the side repeater cameras.

Tesla does not wait for a new model year to improve its vehicles. On September 8, Cybertruck lead engineer Wes Morrill posted side-by-side photos of an updated side repeater camera housing now rolling off the line at Gigafactory Texas.

The triangular camera pod mounted on the front fender looks almost identical at first glance. A closer look reveals a revised contour that uses the air already flowing around the truck to keep the lens clearer in rain and road spray.

The side repeater cameras sit in an exposed position on the Cybertruck’s angular stainless-steel body.

In wet weather, they readily collect water droplets that can degrade the image Autopilot and Full Self-Driving use for lane changes and blind-spot monitoring. Early production trucks sometimes left owners wiping lenses by hand or accepting temporary restrictions on driver-assistance features.

Tesla has added washers to cameras on certain other models and on Cybercab prototypes, but those active systems add cost, complexity, and extra potential leak points.

The new housing solves the problem with passive geometry. Subtle changes in the surround create localized airflow disturbances as the vehicle moves. Those eddies physically push water droplets away from the optical surface. Morrill called the result “pure vision improvement” achieved at “no cost penalty.” Once the production mold is updated, every subsequent part costs the same as the original.

The advantages compound quickly. Clearer cameras in rain improve the reliability of driver-assistance features precisely when they are needed most. The design consumes no extra energy and introduces no new failure modes.

New Cybertrucks built after the tooling changeover receive the updated part automatically. Some owners of trucks delivered as late as June 2026 have already confirmed they received the revised housing. Retrofit questions have appeared in replies, and the cameras appear electrically compatible, though Tesla has not announced an official service program.

A few millimeters of reshaped housing will not make headlines the way a new battery pack does, but these changes are incremental and increase the Cybertruck’s effectiveness as a vehicle over time.

This improvement illustrates how Tesla continues to refine the Cybertruck after volume production began. Better wet-weather vision, zero added cost, and no extra hardware add up to a meaningful gain in everyday usability and safety.

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Tesla is rolling out a new FSD version with a massive safety addition

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Credit: Tesla

Tesla is rolling out a new version of its Full Self-Driving suite to some owners that comes with the massive addition of a safety feature.

Tesla is rolling out Automatic Collision Evasion with the 2026.27.6 Software Update, which started rolling out to some vehicles last night. We received the update, along with Full Self-Driving v14.3.9, as well as v14.2 Lite, which has identical release notes as the previous version and seems to have some refinements and improvements in behavior and performance.

However, most of the attention has fallen on the Automatic Collision Evasion feature, which we covered in an article last week.

The function will activate Full Self-Driving to “try to keep your vehicle safe and then continue driving. It can engage in the following situations while you are driving manually:

  • Scenario 1: A frontal collision is imminent and braking alone may not avoid it.
  • Scenario 2: Your vehicle detects that you are not sufficiently attentive to the road (for example, reaching toward the back seat), or that Full Self-Driving (Supervised) may have been unintentionally disengaged.”

Essentially, FSD will take over when the vehicle determines you are not paying sufficient attention or are heading toward a potential collision. The addition of this feature is incredibly useful as distracted driving is a major issue in today’s world.

Along with the new safety feature is Tesla FSD v14.3.9, which has no additional release notes compared to the previous version, but in my first drives, my first impression is that operation is great, and parking is still sort of a pain point.

Additionally, Tesla v14.2. Lite has arrived. A great review of that is available here:


The addition of an Automatic Collision Evasion feature is similar to that of other collision avoidance systems that are used by companies like Hyundai, Kia, and Genesis. These programs typically utilize radar and camera sensors to apply emergency brakes autonomously, though evasive steering in a manual driving mode is pioneered primarily by Tesla’s newest addition.

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