Tesla has a unique success story that can be largely attributed to the creative innovations the all-electric automaker fosters at its Design Center in Hawthorne, California. Pawel Pietryka, Creative Manager of User Interface Design at Tesla, was recently interviewed by job-centric website WorkWithUs and provided some insight on what it’s like working behind the scenes with Tesla’s creative teams. Overall, there’s an “aggressive” approach to innovation that comes from the unprecedented nature of Tesla’s mission in the automotive industry.
“This place is like nowhere else,” Pietryka is quoted at the introduction to the interview. “Driving a Tesla is honestly the most fun thing you can do – and we get to design that experience every single day.”
The team creating the experience that customers have come to expect from their Model S, Model 3, and Model X vehicles, along with related products like Superchargers, is a mixed group of car designers, vehicle engineers, software engineers, ergonomics specialists, visualization specialists, clay modelers, digital modelers, and prototypers. Producing technology-centric cars known for being fun and unconventional requires a special kind of work environment that fosters creativity, and Tesla’s approach to this involves collaboration and a high bar for candidates.
“Our teams are very small and that requires everyone to be ultra-collaborative, non-competitive and just plain smart,” Pietryka commented. “We…like to dabble in creative technologies and come up with some crazy ideas. It’s always exciting to create something new that doesn’t exist.”
Tesla’s Design Studio also has an environment that produces supportive relationships among its team members which includes accessibility to management, i.e., to Franz von Holzhausen, Tesla’s Chief Designer.
“I value the camaraderie most of all. We care for each other as much as the products we design, and I don’t mean that in a corny way. You really feel something special when you’re here, everyone says that,” Pietryka detailed. “We…have this incredible ability to shift focus and realign priorities in an instant. We’re lean by design and a byproduct of that is vastly more responsibility for everyone.”
The former Art Director for Apple recounts his decision to embark on a new journey with Tesla. “The only other company that I was excited to work for was Tesla, honestly. I care deeply about our sustainability mission and our aggressive focus on innovation, and what we’re doing here is completely unprecedented. I’ve worked on many digital experiences, but none as exciting as an entire car,” notes Pietryka in his interview with WorkWithUs. “Every single day is different. It could start with a lot of meetings or start with a lot of deadlines. Unpredictable, and no two days are the same, which is pretty amazing. It’s challenging at times, for sure, but also very rewarding.”
Vehicle design is obviously very important to Tesla, and the teams that form the foundation of its success in the market have proven their worth time and time again.
“Everyone knows good design needs to be functional, simple, intuitive. But more than anything it needs to deliver a great user experience,” says Tesla’s Creative Manager, Product Designer. “That means sometimes an experience needs to be fun, sometimes unconventional, and sometimes that means beautiful typography or other unexpected characteristics. I see a lot of good product and UI designers focus too much on the former. What’s the point of good, clean design if customers are not engaged or bored by it?”
Earlier this month, classified advertising firm Auto Trader dubbed Tesla as the Most Loved Brand in the industry in its 2019 New Car Awards. A survey of 60,000 vehicle owners using 16 key metrics to rate their cars saw Tesla rise to the top of the list by a community of enthusiastic owners that were particularly passionate about the brand. Auto Trader noted that technology was a prominent theme among the feedback from Tesla’s customers, and the style and usability of that technology is a big part of why it’s so valued.
Tesla’s vehicle design has even won over car enthusiasts that are primarily fans of traditionally-powered cars. In December last year, Henry Payne of The Detroit News purchased a Long Range RWD Model 3 and was immediately enthusiastic about the all-electric midsize sedan. His comments made in an appearance on Autoline TV focused on the Model 3’s remarkable combination of driving dynamics and software integration.
“Musk re-imagined the car like Steve Jobs re-thought the phone — as a study in design minimalism that is both gorgeous and more efficient than established platforms. Privately, other automaker execs tell me they admire Tesla for innovations that are pushing the industry forward: over-the-air updates, better connectivity, better user interfaces,” Payne commented.
Tesla’s Design Studio may not be in the spotlight very often or be very forthcoming with details about its operations, but the results it produces in the company’s vehicles certainly speak well of the work that’s going on inside.
Check out the full interview with Pawel Pietryka at WorkWithUs.io
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
