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Tesla Cybertruck lead engineer shares insights on deep integration and vehicle development
Tesla Cybertruck Lead Engineer Wes Morrill recently shared some insights on the electric vehicle maker’s deep integration and unique approach to car design in a recent post on social media platform X. As could be seen in the engineer’s post, it is Tesla’s intense attention to detail that ultimately makes the company’s vehicles as disruptive as they are today.
Anyone informed who looks at the Tesla Cybertruck would know that the vehicle is a symphony of automotive engineering. Tesla, however, took some time before it reached this point. As per Morrill in his post, Tesla in its early days utilized different teams with collaborative goals in vehicle design. Adopting this system allowed the company to make great cars, but the designs of the vehicles themselves were not optimal.
“A well known example – early days of Tesla there was a battery team and separately a vehicle structures team. Structures team designed their vehicle body to meet given requirements of strength, crashworthiness, torsional stiffness, etc. Likewise, the battery team designed their part to be self contained, it could survive durability, accidentally being dropped, being hit in a crash, etc.
Good analysis – this is what happens when teams work together to make the best product. https://t.co/XAXf70k3jc— Wes (@wmorrill3) September 14, 2024
“As a result, we ended up with was a super dense battery in a strong box like structure, which was then Installed into the vehicle which had a nice space for it to mate into. There were no issues with integration, everything fit together perfectly and met all product goals. It achieved one of the highest crash safety ratings measured at the time.
“But we had a box full of battery cells that was installed into another empty box shaped receptacle on the body. A box in a box. When you simplify it down that far it sounds obviously wrong. The two organizations had achieved their goals, worked together without friction, and the product met its overall goals. Yet the product ended up with a clear lack of optimization as a result of the organizational boundaries of the two teams working in isolation. Nothing was wrong, but it wasn’t optimal,” Morrill wrote.
The Cybertruck Lead Engineer noted that Tesla learned from these experiences, and the company adapted. This is how innovations such as the structural battery pack—which is now being simulated by electric car makers in China—came about. Morrill stated, however, that such changes may require large organizational changes, and there has to be a drive to make the best product regardless of ego.
Have you heard of Conway's Law? It's an interesting observation about the root cause of why large organizations usually make products worse.
In 1967 Melvin Conway wrote "Organizations which design systems are constrained to produce designs which are copies of the communication… pic.twitter.com/SetWd6OfTe— Wes (@wmorrill3) September 14, 2024
“Before the next product was designed, the battery team gave responsibility of the battery structures also to the vehicle structures team. On this iteration, we ended up with the structural battery, which is an integral part of the body and crash structure. Without it, the vehicle body will not work. It’s the literal floor for the vehicle. But the redundancy is gone and the design is more efficient as a result. This vehicle also achieved one of the highest crash safety ratings measured at the time.
“This is a super obvious example (in retrospect) and solved with a fairly large organizational change but you can also see this happen in small technical decisions and doesn’t require structural change to fix. Someone just needs to question if there is a better solution in a team open to criticism. This mindset to work together to make the best product regardless of ego is where you end up with the most innovative products.
“Some smaller examples have been seen when inspecting Cybertruck design. The chassis air suspension which is used to pressurize the battery pack to prevent water ingress. The subwoofer which utilizes the air volume of the body side instead of making the enclosure larger. Centralized zonal vehicle controllers instead of many small distributed controllers. Doors which use the exterior surface as a crash intrusion beam. The pedestrian warning system used as a horn. The list goes on. The excitement and motivation by everyone involved to work across boundaries and actively break down Conway’s Law is one of the many reasons I love working at Tesla,” Morrill wrote.
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Tesla Cybercab sighting confirms one highly requested feature
The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.
A recent sighting of Tesla’s Cybercab prototype in Chicago appears to confirm a long-requested feature for the autonomous two-seater.
The feature will likely allow the Cybercab to continue operating even in conditions when its cameras could be covered with dust, mud, or road grime.
The Cybercab’s camera washer
The Cybercab prototype in question was sighted in Chicago, and its image was shared widely on social media. While the autonomous two-seater itself was visibly dirty, its rear camera area stood out as noticeably cleaner than the rest of the car. Traces of water were also visible on the trunk. This suggested that the Cybercab is equipped with a rear camera washer.
As noted by Model Y owner and industry watcher Sawyer Merritt, a rear camera washer is a feature many Tesla owners have requested for years, particularly in snowy or wet regions where camera obstruction can affect visibility and the performance of systems like Full Self-Driving (FSD).
While only the rear camera washer was clearly visible, the sighting raises the possibility that Tesla may equip the Cybercab’s other external cameras with similar cleaning systems. Given the vehicle’s fully autonomous design, redundant visibility safeguards would be a logical inclusion.
The Cybercab in Tesla’s autonomous world
The Cybercab is Tesla’s first purpose-built autonomous ride-hailing vehicle, and it is expected to enter production later this year. The vehicle was unveiled in October 2024 at the “We, Robot” event in Los Angeles, and it is expected to be a major growth driver for Tesla as it continues its transition toward an AI- and robotics-focused company. The Cybercab will not include a steering wheel or pedals and is intended to carry one or two passengers per trip, a decision Tesla says reflects real-world ride-hailing usage data.
The Cybercab is also expected to feature in-vehicle entertainment through its center touchscreen, wireless charging, and other rider-focused amenities. Musk has also hinted that the vehicle includes far more innovation than is immediately apparent, stating on X that “there is so much to this car that is not obvious on the surface.”
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Tesla seen as early winner as Canada reopens door to China-made EVs
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y.
Tesla seems poised to be an early beneficiary of Canada’s decision to reopen imports of Chinese-made electric vehicles, following the removal of a 100% tariff that halted shipments last year.
Thanks to Giga Shanghai’s capability to produce Canadian-spec vehicles, it might only be a matter of time before Tesla is able to export vehicles to Canada from China once more.
Under the new U.S.–Canada trade agreement, Canada will allow up to 49,000 vehicles per year to be imported from China at a 6.1% tariff, with the quota potentially rising to 70,000 units within five years, according to Prime Minister Mark Carney.
Half of the initial quota is reserved for vehicles priced under CAD 35,000, a threshold above current Tesla models, though the electric vehicle maker could still benefit from the rule change, as noted in a Reuters report.
Tesla had already prepared for Chinese exports to Canada in 2023 by equipping its Shanghai Gigafactory to produce a Canada-specific version of the Model Y. That year, Tesla began shipping vehicles from Shanghai to Canada, contributing to a sharp 460% year-over-year increase in China-built vehicle imports through Vancouver.
When Ottawa imposed a 100% tariff in 2024, however, Tesla halted those shipments and shifted Canadian supply to its U.S. and Berlin factories. With tariffs now reduced, Tesla could quickly resume China-to-Canada exports.
Beyond manufacturing flexibility, Tesla could also benefit from its established retail presence in Canada. The automaker operates 39 stores across Canada, while Chinese brands like BYD and Nio have yet to enter the Canadian market directly. Tesla’s relatively small lineup, which is comprised of four core models plus the Cybertruck, allows it to move faster on marketing and logistics than competitors with broader portfolios.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Tesla Cybercab sighting confirms one highly requested feature
Tesla seen as early winner as Canada reopens door to China-made EVs
