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
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.