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Tesla Bot job postings go live for California and Texas

(Credit: Tesla Bot)

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Tesla has posted new jobs for its Tesla Bot team on its Careers page. Most of the Tesla Bot jobs are located in California except one located in Austin, Texas. 

A few of the openings have been posted for quite some time. Tesla has been steadily posting jobs for the Tesla Bot team since the project was announced during Artificial Intelligence or AI Day back in August. Most of the new jobs seem to be related to software development for the Tesla Bot, hinting at the company’s progress with the humanoid robot.

The new Tesla Bot jobs are listed below with their responsibilities.

Autonomy – Tesla Bot 

Responsibilities

  •   Build, integrate, and deploy real-time state-of-the-art perception models and algorithms into existing system architecture 
  • · Develop online and offline state estimation algorithms by fusing information from cameras, IMUs, and other sensors 
  • · Test and debug your solutions in realistic situations including in customer applications 
  • · Validate and document performance of algorithms and models in real and simulated environments 
  • · Design and build automatic data pipelines that create high quality, unbiased ground truth labels for neural network model training and deployment 
  • · Create robust sensor calibration routines that perform reliably in complex and unpredictable environments 

Software Engineer – Tesla Bot

 Responsibilities 

  • Build a software stack that will control multiple types of mobile robots/vehicles, including Tesla commercial vehicles (M3/MY/Semi), Tesla custom built wheeled indoor robots, other multi degree of freedom robots, and third party mobile robots 
  • Design, extend & review software architecture, and implement on systems through integration, test and real-time deployment 
  • Make performance and optimization trade-offs to meet product requirements 
  • Collaborate and communicate complex technical concepts through quality documentation 
  • Work cross functionally with mechanical, electrical, software, and manufacturing engineering groups 
  • Support the existing software stack and help troubleshoot issues that might occur 

Mechanical Design Engineer – Tesla Bot 

Responsibilities

  • Design and optimize joints and structures for mass, stiffness, cost, and manufacturing 
  • Collaborate with a multi-disciplinary team to create a cohesive and balanced product 
  • Fabricate prototypes, iterate rapidly, advance your concepts through to volume production 
  • Develop specifications and accelerated test plans to validate the product for its determined lifetime 

Embedded Firmware Engineer – Tesla Bot 

Responsibilities

  • Research, design, simulate, specify, implement, debug, and test high speed interfacing buses to multi-in/out systems comprising electromechanical actuators and sensors 
  • Efficiently Translate the modeling team’s control loops and algorithms for implementation on computational hardware (available or newly designed) 
  • Work collaboratively with electrical, mechanical, and controls engineers to define throughput requirements, computational system capabilities, and set targets product roadmaps
  • Advance Tesla IP in developing internal high-throughput sensors and actuators networks for new products 

Previously, Tesla posted jobs for other positions in the Tesla Bot team, including the openings listed below. 

  • Mechanical Engineer – Actuator Gear Design
  • Mechanical Enginee – Actuator Integration
  • Senior Humanoid Mechatronic Robotic Architect 
  • Senior Humanoid Modeling Robotics Architect

Tesla appointed Chris Walti as the company’s Manager of the Mobile Robotics team. Walti posted more jobs via his LinkedIn a few months ago. The openings Tesla was looking for back then included a Controls Engineer, Engineering Technicians, and a Test Engineer based in Texas. 

Tesla also posted a few internship positions for the Summer of 2022. Mobile Robotics internships are open for Autonomy, Software Engineering, Controls Engineering, Firmware Engineering, and Electrical Engineering.

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As this year comes to an end, the Tesla Bot team will probably be as busy as ever, burning the midnight oil. After all, the Tesla Bot prototype’s release date is expected for 2022. 

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 confirmed HW3 can’t do Unsupervised FSD but there’s more to the story

Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.

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tesla autopilot

Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.

The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.

The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.

For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.

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Elon Musk

Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.

As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.

Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.

Tesla Q1 2026 Earnings Results

Tesla’s Earnings Results are as follows:

  • Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $4.72 billion

Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.

On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.

Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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