Tesla continues to prepare for Gigafactory Mexico’s construction. It recently posted construction jobs for team leads, including architecture, civil, electrical, and mechanical engineers.
Tesla listed 7 new job openings for team leads that would likely help with Gigafactory Mexico’s construction. All the new positions are located in San Pedro Garza García, Nuevo León. Listed below are each team lead position and the responsibilities of each role.
Architecture Lead
- Lead the architectural scope of Gigafactory Mexico; responsible for developing architectural design packages for permitting and construction
- Review and develop designs that are cost-effective, constructible, code compliant while meeting Tesla’s quality and schedule requirements.
- Lead the development of Scope of Work, Basis of Design, Scheduling, and Estimating documents. Work with various manufacturing, construction, and facilities stakeholders to understand end-user needs. Manage and oversee the work of consultants.
- Develop process improvements, workflows, and templates to increase design productivity.
- Perform architectural assignments with no direction and no immediate supervision, and work independently as well as collaboratively with others toward design and technical solutions.
- Provide production of design drawings, presentation drawings, and digital models.
- Lead in the execution of construction administration responsibilities, as well as lead in the review and execution of design documents that meet building code.
Mechanical Design Engineer Lead
- Lead interdisciplinary teams on design projects
- Evaluate solutions and present findings to leadership
- Conduct feasibility studies, cost estimations, and equipment procurement
- Direct designers and collaborate with contractors in the field
- Ensure construction documents are followed and perform project closeouts
- Collaborate daily with interdisciplinary project teams
- Perform punch walks and project closeouts
Process Engineering Lead
- Apply engineering fundamentals and a broad set of process engineering tools to solve technical problems and create novel detailed designs for various gas and chemical systems such as refrigerants, cryogenic gases, inert gases, viscous fluids, corrosive fluids, reactive fluids, and flammable fluids.
- Lead front-end and detailed process designs for complex and program-level projects, including scope development, Basis of Design documentation, PFDs, P&IDs, 3D piping system design, pressure drop analysis and Pipe-Flo modeling, pressure relief valve calculations, equipment datasheets, Aspen simulation where required, and supporting Sequence of Operations / Controls Narrative documents.
- Provide technical expertise to the engineering/design team and other groups within Tesla as a subject matter expert (SME)
- Participate in commercial contracting activities, including development of scopes of work, evaluation of bid packages, performing bid analysis, competitive bid leveling, and working with Procurement to prepare commercial subcontracts.
- Participate in field construction and commissioning activities by serving as the point of contact for technical questions and real-time issue resolution, as well as maintaining master piping and equipment specifications.
- Review process design work performed by others on the Process Team to ensure every design maintains the highest level of quality, including P&IDs, plan drawings, and single-line iso’s
- Provide process engineering support to facilities operations and manufacturing teams to help resolve process bottlenecks and other long-standing issues and mentor less experienced engineers on the team.
Civil Engineering Lead
- Promote and protect Tesla’s reputation as a cutting-edge company producing the world’s most exciting cars and shifting the paradigm of personal transportation worldwide.
- Manage multiple projects throughout planning, design, bid, and construction phases. Define and plan project work scope, schedules, budget, and resource requirements.
- Independently develop high-quality civil engineering products, including construction document drawings, specifications, narratives, calculations, and utilize and improve civil design standards and details.
- Review drawings and proposals by vendors, engineers, and architects and drive multi-disciplinary coordination. Present 30%, 60%, [and] 90% model reviews to stakeholders and multi-discipline teams
- Effectively and proactively communicate project needs, changes, and status to both internal and external team members
- Conduct meetings and coordinate permitting agencies to obtain jurisdictional approvals of civil engineering scope.
Structural Engineering Lead
- Lead design for a variety of new and renovation projects from estimating through construction, including providing preliminary estimates and guidance on structural systems
- Evaluate, assign, and manage external consultant teams.
- Coordinate structural design on multidiscipline project teams, including Mechanical, Electrical, Piping/Plumbing (MEP), and architectural professionals.
- Complete knowledge of applicable building codes and structural design standards to conduct structural analysis along with the creation of justifying structural calculations
- Build a competent and effective team, including mentorship of less experienced engineering staff and development of design standards/procedures.
- Provide QA/QC of design drawings and calculations for both internal and external design scopes.
- Ability to articulate complex concepts to non-technical audiences. Present design concepts, including options with tradeoffs to high-level stakeholders to secure cross-functional buyoffs.
Lead Control System Engineer
- Participate in initial equipment conceptual development and carefully balance product specifications, process control requirements, layout complexity, cost, quality, and lead-time limits.
- Work closely with PLC and HMI development to integrate and develop innovative control solutions.
- Participate in continuous improvement activities with key stakeholders and engineering groups.
- Participate in specification and standard creation for instrument types, PLC/PSP Panels, and VFDs
- Participate in design validation practices, including LOPA and HazOp analyses.
- Participate in the execution of start-up and commissioning activities.
- Produce RFQs for release to Vendor and quote technical evaluation.
Electrical Engineering Lead
- Interface and collaborate with multiple discipline engineers
- Ability to multi-task, prioritize, and work in an extremely fast-paced environment.
- Collaborate with various design teams and liaise with manufacturing, construction, and facility stakeholders to understand the project requirements and deliver fully coordinated sets of construction documents.
- Interface and guide external electrical design consultants during project execution to ensure that design and specifications meet the project requirements
- Review electrical drawings, construction/procurement documents, and specifications for MV and LV electrical systems. Typical scope includes normal and emergency power distribution systems, lighting, and grounding systems.
- Attend on-site construction and commissioning activities by serving as the point of contact for technical questions and real-time issue resolution.
- Report to Electrical Project Lead
Tesla appointed Teresa Gutiérrez as the new country manager in Mexico. Following her appointment, Tesla ramped up hiring for sales, service, and delivery jobs. From Tesla’s recent job posts, it seems to be strengthening its positions in Mexico as it prepares to construct the new gigafactory.
Currently, the government of Nuevo León is preparing the surrounding area for Giga Mexico’s construction. It is expanding the Monterrey-Saltillio highway near Tesla Giga Mexico. The local government expects traffic to spike along the highway as Giga Mexico suppliers set up their own bases in Nuevo León.
Apply for Tesla Giga Mexico team lead positions here.
If you have any tips, contact me at maria@teslarati.com or via X @Writer_01001101.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
