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Tesla’s mobile robotics manager posts new batch of Tesla Bot job openings

(Credit: Tesla)

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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. 

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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

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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Elon Musk

Tesla Full Self-Driving is getting a major parking upgrade, Elon Musk says

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Credit: Tesla

Tesla Full Self-Driving is going to be getting a major parking upgrade. That’s according to CEO Elon Musk, who detailed a crafty new feature that will improve parking preferences, removing a layer of human input.

Musk said that upcoming releases of Full Self-Driving will “remember your parking preferences.” It will go to the location you prefer, based on where you’ve parked in the past, instead of taking the first spot available, which is where the suite is currently.

The CEO went on to explain that destination parking is “by far” the biggest reason for intervention during FSD operation. We’d have to believe this is true; many takeovers in my Model Y, which runs the latest version of FSD as it is in the Early Access Program, are due to parking because it chooses a spot I do not want to be in.

Many times, as soon as I enter a parking lot, I take over and park manually. I prefer to park away from the entrance of wherever I am, away from cars. Too many lessons learned over the years from people with free-swinging doors.

We’d imagine these new updates will also solve things like parking orientation. Let’s say when you arrive at work, you always park in the third spot in the third row, and you prefer to back in. It seems as if Musk is implying that your car will now do this, learning from takeovers and aiming to eliminate the need to manually park whenever possible.

This is a major upgrade because parking is a major shortcoming of FSD currently. We’ve requested things like manual input of parking preferences, choosing to park far away, first available, or away from cars, for example.

However, some have used the option of dropping a pin at the location you’d like to park at your destination. This has worked some of the time, but FSD will still choose to park in whatever it sees first.

Musk did not give a timetable for when the improvements would be released, but it is likely to come soon. Tesla has been releasing a new FSD version every few weeks, so we may not have to wait long to test it.

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Tesla Full Self-Driving and App Connectivity save life in medical emergency

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Credit: Tesla

In a remarkable demonstration of how advanced vehicle technology can intersect with family care and rapid response, a Tesla Model Y equipped with Full Self-Driving (FSD) Supervised helped save a driver’s life during a severe heart attack. The incident, which occurred on November 15, 2025, highlights the life-saving potential of Tesla’s connected ecosystem.

John Brandt, 55, was driving his new 2026 Model Y Launch Edition on Interstate 20 from Atlanta toward Birmingham early that morning. He had recently received the FSD v14.1.3 update. Around 3:50 a.m., he began experiencing severe chest pain. Barely conscious and unable to safely control the vehicle, John managed to call his son, Jack Brandt.

FSD Supervised remained engaged, keeping the car steadily on course while John reached out for help.

As an authorized driver on his father’s Tesla account, Jack quickly sprang into action from his own phone. He located Tanner Medical Center in Carrollton, Georgia—a facility equipped for cardiac emergencies—via Google Maps and shared the destination directly through the Tesla app.

The Model Y responded immediately, rerouting: it took the next exit, turned around on I-20, navigated local roads, and pulled directly up to the emergency room entrance. Jack also alerted hospital staff that a heart attack patient was en route in a Tesla.

Doctors diagnosed John with a massive STEMI heart attack, requiring immediate intervention on three blocked arteries. They later confirmed that without the swift reroute, John likely would not have survived—whether he had pulled over to wait for an ambulance or attempted to continue driving. He received life-saving treatment and is now recovering fully.

Tesla shared the story on X, including an interview video featuring John and Jack reflecting on the event. John described the terrifying onset of symptoms, while Jack detailed the ease of remote intervention thanks to the app’s features. Only authorized users with vehicle access can change navigation destinations, adding a layer of security and family coordination.

This case underscores Tesla’s emphasis on connectivity and supervised autonomy. Features like remote navigation allow loved ones to assist in real-time emergencies, while FSD handles complex driving tasks reliably. Tesla notes that FSD Supervised requires active driver supervision and is not fully autonomous; this was a specific incident, not a general emergency protocol.

The story has resonated widely, with many praising Tesla’s technology for bridging gaps in critical moments. Jack previously shared details on social media in February 2026, and Tesla’s recent post has amplified its reach. As vehicles become smarter and more connected, such integrations could redefine personal safety on the road—turning cars into proactive partners in health crises.

For Tesla owners, the incident serves as a powerful reminder to add trusted family members as authorized drivers and explore FSD capabilities. While no technology replaces professional medical care, this blend of AI-assisted driving and seamless app control proved invaluable. John’s survival stands as a testament to innovation that prioritizes human life.

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Elon Musk

Elon Musk predicts Grok will start to challenge Hollywood by the end of 2026

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

In a bold declaration on X, xAI CEO Elon Musk announced that its model will be capable of creating full movies by the end of the year. Quoting an xAI post showcasing a stunning AI-generated trailer for Homer’s The Odyssey, Musk simply stated: “Full movies by the end of the year.”

The quoted video, created entirely with the newly released Grok Imagine Video 1.5, demonstrates the rapid strides in AI video generation. Crafted by creator David Thompson, the 2-minute-plus trailer reimagines the ancient epic in the style of a 1970s classical Hollywood blockbuster. It features 36 meticulously consistent shots that form a cohesive narrative world.

Its realistic nature is truly mind-blowing, and it’s pretty amazing to think that it cool to think it could create an entire movie soon.

The trailer reimagines The Odyssey as a whole, and opens with a concept board outlining the vision: a retelling of the story using 35mm film aesthetics, classical framing, and other elements.

There are a handful of things that truly outline Grok’s capabilities:

  • Scale and Physics: A bloodied Spartan helmet rests on a sandy battlefield amid smoke, marching armies, and flocks of birds. Horses gallop, chariots charge, and warriors clash with believable weight and motion.
  • Emotional Depth and Dialogue: Close-ups capture intense expressions, as characters deliver lines like a warrior’s grief-stricken speech on a rocking ship.
  • Cinematic Workflow: It’s hard to believe AI created this trailer, as editing and suspense are clearly detailed in this trailer

Now, why is this a big deal? AI has been a real threat to the way movies have been made over the past several decades. It’s no secret that the various AI platforms out there are becoming more capable, but Musk has said that he believes things would be “watchable” by the end of this year, and by the end of 2027, Grok would be able to create “really good” movies.

There are several issues that remain, most notably the ability to remain cohesive throughout the length of a film, energy requirements, copyright questions for training data, and artistic intent. Hollywood has created some of the greatest cinematic masterpieces over the past 100 years, but 2026 could be the year AI not only assists but also independently authors cinema.

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