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.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
