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
Elon Musk
Elon Musk’s X will start using a Tesla-like software update strategy
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
Elon Musk’s social media platform X will adopt a Tesla-esque approach to software updates for its algorithm.
The initiative seems designed to accelerate updates to the social media platform, while maintaining maximum transparency.
X’s updates to its updates
As per Musk in a post on X, the social media company will be making a new algorithm to determine what organic and advertising posts are recommended to users. These updates would then be repeated every four weeks.
“We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days. This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed,” Musk wrote in his post.
The initiative somewhat mirrors Tesla’s over-the-air update model, where vehicle software is regularly refined and pushed to users with detailed release notes. This should allow users to better understand the details of X’s every update and foster a healthy feedback loop for the social media platform.
xAI and X
X, formerly Twitter, has been acquired by Elon Musk’s artificial intelligence startup, xAI last year. Since then, xAI has seen a rapid rise in valuation. Following the company’s the company’s upsized $20 billion Series E funding round, estimates now suggest that xAI is worth tens about $230 to $235 billion. That’s several times larger than Tesla when Elon Musk received his controversial 2018 CEO Performance Award.
As per xAI, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others. Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
News
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system.
Tesla’s Full Self-Driving (Supervised) system has been named the best driver-assistance technology on the market, earning top honors at the 2026 MotorTrend Best Tech Awards.
The decision marks a notable reversal for the publication from prior years, with judges citing major real-world improvements that pushed Tesla’s latest FSD software ahead of every competing ADAS system. And it wasn’t even close.
MotorTrend reverses course
MotorTrend awarded Tesla FSD (Supervised) its 2026 Best Tech Driver Assistance title after extensive testing of the latest v14 software. The publication acknowledged that it had previously criticized earlier versions of FSD for erratic behavior and near-miss incidents, ultimately favoring rivals such as GM’s Super Cruise in earlier evaluations.
According to MotorTrend, the newest iteration of FSD resolved many of those shortcomings. Testers said v14 showed far smoother behavior in complex urban scenarios, including unprotected left turns, traffic circles, emergency vehicles, and dense city streets. While the system still requires constant driver supervision, judges concluded that no other advanced driver-assistance system currently matches its breadth of capability.
Unlike rival systems that rely on combinations of cameras, radar, lidar, and mapped highways, Tesla’s FSD operates using a camera-only approach and is capable of driving on city streets, rural roads, and freeways. MotorTrend stated that pure utility, the ability to handle nearly all road types, ultimately separated FSD from competitors like Ford BlueCruise, GM Super Cruise, and BMW’s Highway Assistant.
High cost and high capability
MotorTrend also addressed FSD’s pricing, which remains significantly higher than rival systems. Tesla currently charges $8,000 for a one-time purchase or $99 per month for a subscription, compared with far lower upfront and subscription costs from other automakers. The publication noted that the premium is justified given FSD’s unmatched scope and continuous software evolution.
Safety remained a central focus of the evaluation. While testers reported collision-free operation over thousands of miles, they noted ongoing concerns around FSD’s configurable driving modes, including options that allow aggressive driving and speeds beyond posted limits. MotorTrend emphasized that, like all Level 2 systems, FSD still depends on a fully attentive human driver at all times.
Despite those caveats, the publication concluded that Tesla’s rapid software progress fundamentally reshaped the competitive landscape. For drivers seeking the most capable hands-on driver-assistance system available today, MotorTrend concluded Tesla FSD (Supervised) now stands alone at the top.
News
Elon Musk’s Grokipedia surges to 5.6M articles, almost 79% of English Wikipedia
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago.
Elon Musk’s Grokipedia has grown to an impressive 5,615,201 articles as of today, closing in on 79% of the English Wikipedia’s current total of 7,119,376 articles.
The explosive growth marks a major milestone for the AI-powered online encyclopedia, which was launched by Elon Musk’s xAI just months ago. Needless to say, it would only be a matter of time before Grokipedia exceeds English Wikipedia in sheer volume.
Grokipedia’s rapid growth
xAI’s vision for Grokipedia emphasizes neutrality, while Grok’s reasoning capabilities allow for fast drafting and fact-checking. When Elon Musk announced the initiative in late September 2025, he noted that Grokipedia would be an improvement to Wikipedia because it would be designed to avoid bias.
At the time, Musk noted that Grokipedia “is a necessary step towards the xAI goal of understanding the Universe.”
Grokipedia was launched in late October, and while xAI was careful to list it only as Version 0.1 at the time, the online encyclopedia immediately earned praise. Wikipedia co-founder Larry Sanger highlighted the project’s innovative approach, noting how it leverages AI to fill knowledge gaps and enable rapid updates. Netizens also observed how Grokipedia tends to present articles in a more objective manner compared to Wikipedia, which is edited by humans.
Elon Musk’s ambitious plans
With 5,615,201 total articles, Grokipedia has now grown to almost 79% of English Wikipedia’s article base. This is incredibly quick, though Grokipedia remains text-only for now. xAI, for its part, has now updated the online encyclopedia’s iteration to v0.2.
Elon Musk has shared bold ideas for Grokipedia, including sending a record of the entire knowledge base to space as part of xAI’s mission to preserve and expand human understanding. At some point, Musk stated that Grokipedia will be renamed to Encyclopedia Galactica, and it will be sent to the cosmos.
“When Grokipedia is good enough (long way to go), we will change the name to Encyclopedia Galactica. It will be an open source distillation of all knowledge, including audio, images and video. Join xAI to help build the sci-fi version of the Library of Alexandria!” Musk wrote, adding in a later post that “Copies will be etched in stone and sent to the Moon, Mars and beyond. This time, it will not be lost.”
Elon Musk’s X will start using a Tesla-like software update strategy
Tesla FSD Supervised wins MotorTrend’s Best Driver Assistance Award
