Tesla’s manager for Mobile Robotics, Chris Walti, recently invited skilled engineers and technicians to apply at Tesla and get the opportunity to work on the company’s humanoid robot program.
Tesla announced its plans to produce the Tesla Bot during AI Day. The company isn’t wasting any time making the Tesla Bot prototype based on its recent hiring ramp. A week or so ago, Tesla posted a few jobs related to the Tesla Bot. Teslarati reported that Tesla was looking for two mechanical engineers and two senior robotics architects for its humanoid robot.

A recent search through Tesla’s Careers page shows that there are now many more jobs relating to the Tesla Bot, several of which were highlighted by the executive on LinkedIn. A quick skim through the available Tesla Bot jobs hint that the company isn’t just thinking about the prototype it plans to unveil in 2022. There are a couple positions available relating to the manufacturing process of the Tesla Bot as well.
For instance, Tesla is looking for a controls engineer for the Tesla Bot, which falls under the manufacturing category. The responsibilities of a controls engineers are listed below.
Controls Engineer – Tesla Bot Responsibilities
- Research, design, simulate, specify, implement, debug, and test control and estimation algorithms for various electrical, mechanical, and thermal systems
- Work on using high level controls and modeling analytic tools to inform product development in terms of actuator, sensor and kinematic design.
- Work collaboratively with responsible electrical, mechanical, and firmware engineers to define sensing requirements, establish control system capabilities, and set targets
- Advance Tesla IP in control systems for new products
Another position that falls under the manufacturing category is engineering technician for the Tesla Bot. The engineering technician’s responsibilities are listed below.
Engineering Technician – Tesla Bot Responsibilities
- Work with engineers to fabricate, assemble, and integrate mobile robot prototypes, including mechanical assemblies, electrical systems, wire harnesses, etc.
- Develop test plans and test systems, including building of assembly jigs and test/validation systems
- Collaborate with engineering teams to root cause and resolve mechanical and electrical issues
- Provide detailed written & verbal test status updates to key stakeholders
- Support engineering teams in instrumentation and data acquisition setup and logging
- Maintain a lab, ensuring that it is well-stocked with the tools and materials needed to make prototype wire harnesses
- Supporting bench-top electrical system builds and testing, including obtaining and tracking
- Support low volume prototype part builds and testing, including obtaining and tracking
- Interface components from other Engineering and Purchasing groups within Tesla
The new job posts also show that Tesla plans to work on the Tesla Bot in California and Texas. The majority of jobs open for the Tesla Bot are located in Palo Alto, California. However, there is one located in Austin, Texas.
Tesla is looking for a test engineer for the Tesla Bot project in Texas. The responsibilities of a test engineer are listed below.
Test Engineer – Tesla Bot Responsibilities
- Participate in initial cross-functional product development and carefully balance product specifications, process requirements, manufacturing complexity, cost, and lead-time limits.
- Define and implement efficient plans for testing, automating and improving focusing on time/cost reduction and low complexity.
- Own and drive hardware validation efforts for electrical and mechanical systems. Your job is to figure out how these products could fail and to collaborate with design partners to drive changes.
- Write and maintain test software to automate test execution, data collection and data analysis
- Manage tests from setup through execution and reporting, including test planning, development, execution, inspections, root cause analysis, data processing, documenting, and failure analysis.
- Develop and maintain validation schedules, coordinate test resources, and communicate status/blockers to program managers
- Actively participate in design reviews and DFMEAs to shape product towards reliability and deepen understanding of product risks
- Organize cross functional teams (internal + external)
- Document, organize, and track testing progress and provide updates to the team and upper management.
More Tesla Bot jobs may open in Texas as the company gets closer to unveiling the prototype and producing the humanoid robot. The Tesla Bot will undoubtedly be one of the most exciting projects Tesla will be working on over the next few years.
Link to Tesla Bot jobs, here.
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
News
Tesla Full Self-Driving v14.3.6 review: a rare regression, but some bright spots
Tesla released Full Self-Driving version 14.3.6 last week, and after what was potentially one of the best FSD releases in v14.3.5, there has been a bit of a regression. While there are some bright spots, the changes made to v14.3.6 seem to have backtracked some behaviors.
Overall, it is hard to really complain about FSD in any sense; it has revolutionized how I travel literally anywhere. According to my self-driving app, the last time I went a day without using it was 59 days ago.
However, I think it’s also important to recognize when things are just plain bad with FSD. There are times it does truly mind-boggling things, and I’ll dive into those here. Additionally, I only had these issues on local roads, not on highways. Highway operation, generally, is always incredible other than the occasional complaint about speed or left lane camping.
With those things being said, my personal experience may not represent others’ experiences. A handful of people have said they have had a similar experience on v14.3.6, while others have said it is more than normal.
Turning Hesitancy, Inaccuracy
I’ve noticed more inaccuracy turning into multi-lane stretches of road than in any version I can remember. I’ve had at least three instances of FSD turning into a stretch of roadway that has two or more lanes, and not selecting a lane confidently as it has in past versions.
I think Tesla FSD v14.3.6 is a regression from previous .3 branches
This version in particular has been incredibly hesitant, jerky, and indecisive at times. There’s actually been two drives that I have decided to not used FSD for the remainder of the trip. These were local trips… pic.twitter.com/YobHDOKRS6
— TESLARATI (@Teslarati) July 26, 2026
Instead, the car will drive over one of the dashed road lines, and the steering wheel will jerk back and forth before picking the lane. It should be said that it has always picked the correct lane when choosing based on the navigation, but it is still very indecisive. The steering wheel jerking is reminiscent of some of the later versions of v13.
I admit I really hate to see the steering wheel jerking come back. However, I think when Tesla releases v14.3.7, it won’t be present. When there are occurrences of it in FSD versions, it is usually resolved by the following release.
FSD Disregards Manual Turn Signals
This is my biggest bone to pick with FSD other than Navigation issues, but this one seems like it would be such an easy fix.
If Tesla is going to put the word “Supervised” on the end of “Full Self-Driving,” then when I tell the car to do something, it should do it. If I input an increase in speed by pressing the accelerator, the car will immediately respond. It does not disregard my input because it feels it is traveling at the right speed.
FSD should never disobey and turn off turn signals that the driver inputs. Trying to direct the car into the correct lane, I had initiated the left turn signal not once, not twice, but three times, with the car turning it off all three times and continuing in a lane that would end in just one block. The only solution at this point would be to zipper merge.
This goes back to the fact that self-driving’s biggest bottleneck might be rider preference. A zipper merge might have been more than reasonable, might have saved me time that I spent sitting through an additional light cycle, and might be something many drivers would do. I was in no hurry, I traditionally do not try to zipper merge because it feels inconsiderate, and lastly, the car should have just followed my input.
This caused me to disengage and drive manually the rest of the way home. Sometimes I just do not need FSD to try to pass every car it can at intersections.
Bird Braking is a Thing of the Past
The big complaint with recent versions of Full Self-Driving has been what we’ve coined as “bird braking,” which is when the car will brake suddenly as a bird flies past.
There have been zero issues with this so far in v14.3.6, which is an excellent improvement.
FSD Might Already Be Taking Note of Driver Preferences
Another thing I have noticed over the past few days is that v14.3.6 seems to already be taking my preferences with navigation into account.
This is something that is supposed to be rolling out with the Summer Update, but I have a hunch it’s already present and might have been included in this v14.3.6 build. On Friday, FSD pulled into an entrance to a local convenience store that it had never attempted to go into before.
Typically, I manually pull into this entrance because it avoids heavy cross traffic at the main entrance. FSD has always chosen that congested main entrance.
I don’t want to get anyone excited but my Tesla running FSD v14.3.6 just:
✅ Pulled into an entrance at my local Sheetz that I routinely pull into manually but FSD never has entered
✅ Pulled into my assigned parking space at home despite many other spots being vacant https://t.co/ZUShvknTWO pic.twitter.com/83O5a2S0eh
— TESLARATI (@Teslarati) July 24, 2026
Additionally, FSD has pulled into my assigned parking spot at my townhouse community on multiple occasions with this release. This is something that used to happen ocassionally, but not consistently.
It also navigated back to the same convenience store last night, drove through crazy cars scrambling to gas pumps, navigated out of the parking lot correctly, drove me home, and, once again, parked in my assigned spot.
As previously stated, this release just seems to have a few things that need to be brought to Tesla’s attention, and also to make others who use FSD aware of some things that I’ve experienced. I look forward to the next release that will remedy these issues, just as Tesla has always done in the past.
Elon Musk
Musk’s massive Terafab project will get final location soon
Elon Musk’s massive Terafab project, which will be the first true conglomeration between each of his major entities, is set to get its final location soon, the CEO said on Tesla’s recent earnings call.
“The Terafab, we expect to announce a location soon, and provide more details about our plans in that regard. We’ll leave that to the product, the launch announcement rather than try to squeeze it into an earnings call,” Musk said last Wednesday.
Tesla Terafab set for launch: Inside the $20B AI chip factory that will reshape the auto industry
Terafab was announced by Musk back in March and was essentially a massive, vertically integrated semiconductor manufacturing project that would provide all the chips the three companies needed for their AI initiatives without needing third-party companies.
The plant will produce over 1 terawatt of AI compute each year, and will help back up projects like Optimus, Full Self-Driving, and other AI-based projects that Musk’s companies are working on.
In April, less than a month after the project was launched, Intel announced it would join the project, contributing manufacturing expertise and consulting to Terafab as a whole. Intel is one of three chip manufacturers that produce sub-5 nanometer chips at scale. TSMC and Samsung are the other two.
However, there was no true indication of where Terafab would end up, but most believe it will likely be somewhere in Texas. Business Insider has reported that SpaceX plans to build out Terafab in Grimes County, Texas, but this is unconfirmed.
Musk confirmed recently that it would not be on Giga Texas property, as it is simply too large.
The sheer scale of TERAFAB is going to be insane.
Elon said it wouldn’t be suitable for anywhere on Giga Texas property because it’s too big:
“We couldn’t possibly fit the Terafab on the GigaTexas campus. It will be far bigger than everything else combined there.
Several… pic.twitter.com/79GbhNNuf4
— TESLARATI (@Teslarati) March 23, 2026
Terafab holds much of Musk’s grand ambitions for the future within its construct. It holds so much responsibility for the future and the biggest projects that Musk’s companies can imagine.
“I think this is a very big announcement and it deserves to have its own day in the spotlight and not be squeezed into an earnings call,” he said. “I do think Terafab is going to be an amazing initiative and a necessary one, and one without which we will be constrained in our ability to scale Optimus production, because we simply won’t have enough AI chips.”
He continued by stating that Terafab is necessary for scaling Optimus, which Musk said could be the biggest product of any kind of all time. “It’s crucial to solve that, and we’ll have to solve memory, logic, and packaging in order to scale Optimus.”
News
Elon Musk reveals SpaceX performed secret Starship test on Flight 13
SpaceX performed a secret test on a specific portion of Starship with its recent 13th test flight last week, CEO Elon Musk revealed.
Starship’s 13th test flight took place last Friday, and in many aspects, it was one of the most overwhelmingly successful launches in the project’s history.
All of the mission objectives were met without incident, both the Super Heavy Booster and Ship managed to perform safe splashdowns in the Gulf of America and the Indian Ocean, respectively, and the deployment of Starlink satellites came and went without any complications.
— Elon Musk (@elonmusk) July 25, 2026
However, there was more on the agenda for SpaceX with Flight 13. Musk revealed an internal test of the ship’s heat shield tiles, as the space exploration company wanted to push them to the limits after previous issues.
Many noticed that Starship’s initial launch seemed to be more accelerated than normal, and that was not a mistake. Musk revealed that SpaceX decided to give Flight 13 an intentionally aggressive acceleration rate in an effort to test how well the tiles would remain attached to the ship:
This flight intentionally had much higher acceleration to test how well the heat shield tiles would remain attached at high dynamic pressure.
Test was successful.
— Elon Musk (@elonmusk) July 25, 2026
SpaceX had issues with some of the heat shield tiles remaining attached early on in the Starship program. The first six test flights presented some kind of anomaly with them, so the company’s big focus with them was to figure out a way to keep them intact through the duration of the flight.
Things truly improved as Flight 10 showed that ceramic tiles generally stayed attached to the ship far better due to refined attachment, as SpaceX utilized pins instead of adhesives. Flights 10 through 13 truly showed some clear progress with the heat shield tiles, and this latest test seems to be where some real progress was noticed, especially by Musk.
The 13th Starship launch last Friday was the second with Starship V3, SpaceX’s latest and greatest iteration of the spacecraft. Goals and ambitions are getting even grander as the project continues to progress. Musk has already hinted that SpaceX will likely try to catch Starship with Flight 14.

