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
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
