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Weakest Engineer In the Room: Turn Fear Into Fuel

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The Worst Engineer in the Room

My salary doubled. My confidence tanked.

That’s what happened when I had just joined a five-person startup in San Francisco in my third year as a software engineer. Two of the founders had been recognized in Forbes 30 Under 30. The team was exceptional by any measure.

On my first day, someone made a joke about Dijkstra’s algorithm. Everyone laughed. I smiled along, then looked it up afterward so I could understand why it was funny. Dijkstra’s algorithm finds the shortest path between 2 points—the math underlying GPS navigation. It’s a foundational concept in virtually every formal computer science curriculum. I had never encountered it.

That moment reflected a broader pattern. Conversations about system design and tradeoffs often felt just out of reach. I could follow parts of them, but not enough to contribute meaningfully.

I was mostly self-taught. Wide coverage, shallow roots. The engineers around me had roots. You could feel it in how they reasoned through problems, how they talked about tradeoffs, how they debugged with patience instead of pure panic.

The Advice That Sounds Good Until You’re Living It

You’ve heard the phrase: “If you’re the smartest person in the room, you’re in the wrong room.”

It sounds aspirational. What nobody tells you is what it actually feels like to be in that room. It feels like barely following system design conversations. Like nodding along to discussions you can only partially decode. Like shipping solutions through trial and error and hoping nobody looks too closely.

Being the weakest engineer in the room is genuinely uncomfortable. It surfaces every gap. And if you’re not careful, it pushes you in exactly the wrong direction.

My instinct was to make myself smaller. On a team of five, every voice mattered. I stopped offering mine. I rushed toward working solutions without real understanding, hoping velocity would compensate for depth.

I was working harder and, at the same time, I was not improving.

The turning point came when one of the most senior engineers left. Before departing, he told me it was difficult to work with me because I lacked foundational programming knowledge, listing out the concepts he saw me struggle with.

For the first time, what had felt like vague inadequacy became something specific.

What the Cliché Misses

Proximity to stronger engineers is not sufficient on its own. You won’t absorb their skill through osmosis. The engineers who thrive when they’re outmatched are not the ones who wait for confidence to arrive. They treat the discomfort as diagnostic information.

What can they answer that I can’t? What do they see in a system that I’m missing?

I defined a clear picture of the engineer I wanted to become and compared it to where I was. I wrote down what I did not know. I identified how I would close each gap with books, tutorials and small projects. I asked for recommendations from the same engineer who gave me the hard feedback.

I figured out the gaps. Then the bridges. Then I worked through each of them.

Over time, conversations became clearer. Debugging became more systematic. I started contributing meaningfully rather than just executing tasks.

The Other Room Nobody Warns You About

There’s a less-obvious version of this same problem: when you’re the strongest engineer in the room.

It can feel rewarding. Less friction, more validation. But there’s also less growth. When you’re at the ceiling, there’s no external pressure to raise your own floor. The feedback loops that sharpen judgment go quiet. Some engineers spend years there without noticing. They’re good. They’re comfortable. They stop getting better.

Both rooms carry risk. One threatens your confidence. The other threatens your trajectory.

Being the weakest engineer in a strong room is an advantage, but only if you treat it like one. It gives you a clear benchmark. But the room doesn’t do the work for you. You have to name the gaps, build a plan, and follow through.

And if you ever find yourself in the other room, where you’re clearly the strongest, pay attention to how long you’ve been there.

Both rooms are trying to tell you something.

—Brian

Not every engineer has a doctorate, but Ph.D. engineers are an essential part of the workforce, researching and designing tomorrow’s high-tech products and systems. In the United States, early signs are emerging that Ph.D. programs in electrical engineering and related fields may be shrinking. Political and economic uncertainty mean some universities are now seeing smaller applicant pools and graduate cohorts.

Read more here.

Last November, three professors at Auburn University in Ala. hosted a gathering at a coffee shop to confront students’ concerns about AI. The event, which they call an “AI Café,” was meant to create an environment “where scholars engage their communities in genuine dialogue about AI. Not to lecture about technical capabilities, but to listen, learn, and co-create a vision for AI that serves the public interest.” In a guest article, they share what they learned at the event and tips for starting your own AI Café.

Read more here.

Inference, the process of running a trained AI model on new data, is increasingly becoming a focus in the world of AI engineering. The growth of open LLMs means that more engineers can now tweak the models to perform better at inference. Given this trend, a recent issue of the Substack “The Pragmatic Engineer” does a deep dive on inference engineering—what it is, when it’s needed, and how to do it.

Read more here.

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Embattled hedge fund Situational Awareness invests $400M in chip startup Source Foundry

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Situational Awareness may have had to sell off the majority of its public portfolio last month, but the AI-focused hedge fund is still making some big bets.

This week, the fund invested $400 million into Source Foundry, a startup founded by Stanford researchers aiming to make chip manufacturing faster and cheaper, according to The Wall Street Journal. That brings its total investment in Source Foundry to $500 million.

Situational Awareness was founded by Leopold Aschenbrenner, a former OpenAI researcher in his mid-twenties who had no trading experience when he launched the fund in 2024. Early returns were reportedly strong, but the fund faced steep losses in recent months amidst the decline in AI infrastructure stocks.

At the end of July, Situational Awareness sold off the majority of its public portfolio to Ken Griffin’s Citadel, although the fund held on to its Anthropic shares. Its assets under management reportedly fell from $20 billion to $10 billion.

On the bright side, Aschenbrenner didn’t let those setbacks get in the way of his wedding.

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Anthropic is turning Claude Code’s auto mode on by default

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Programming with Claude Code will soon require even less human oversight, as Anthropic says it’s making auto mode the default for Pro, Max, and Team accounts, starting on August 14.

The company first unveiled a test version of auto mode in March, pitching it as a way to balance speed and control. As Anthropic explained in its announcement on Friday, when Claude Code is in auto mode, instead of presenting prompts asking for human approval at each step, it will proceed unless an action is determined to be “irreversible, destructive, or aimed outside your environment.”

Anthropic also said that in testing, auto mode proved safer than manual review — in a study with 1,053 paid testers, auto mode caught 89% of harmful actions, while human review only caught 13.6%. (Perhaps that’s because “manual review can become habitual: users approve 97% of permission prompts in Claude Code.”)

In a post on X, Claude Code Head Boris Cherny said, “The team and I use Auto mode exclusively, and have been for many months. I couldn’t imagine going back to permission prompts!”

The company also said it’s been adding new safety features like prompt injection screening and customizable hard deny rules to prevent things like data exfiltration.

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TechCrunch Mobility: Zoox prepares for launch and Uber’s AV empire

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Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it. To get this in your inbox, sign up here for free — just click TechCrunch Mobility!

In just a few days, Amazon-owned Zoox will start charging for robotaxi rides. This might not seem like a big deal; the company’s custom-built robotaxis are already giving rides to passengers in Las Vegas and San Francisco, after all. And it’s opening up an early rider program in Miami and Austin too. 

None of this matters — in a business sense — until the company can operate commercially. 

And now it can, starting August 10, thanks to an exemption issued by the National Highway Traffic Safety Administration (NHTSA). Because Zoox vehicles lack many of the traditional controls required under federal law, such as a steering wheel and pedals, it needed an exemption from federal motor vehicle standards in order to operate. It had an exemption that allowed it to demonstrate the technology; this one allows Zoox to operate a fleet of up to 2,500 vehicles commercially for two years. 

The exemption is a win for Zoox, but it also paves the way for any other autonomous vehicle developer that wants to launch a robotaxi that lacks a steering wheel, pedals, or other requirements that might not be needed in a vehicle with no human driver. For instance, a robotaxi really doesn’t need a rearview mirror; it already achieves that kind of visibility with sensors on the exterior of the vehicle. 

Tesla is the obvious beneficiary here since it is developing its two-seater Cybercab. But there will be others as well.


In other news, you might have missed my comprehensive assessment of Uber’s autonomous vehicle empire. Check it out; it offers a complete rundown of every company that Uber has partnered with (and in some cases invested in). And I hear more are coming. 

You might recall that the Financial Times did its own calculus of how much Uber was investing in AVs. The outlet determined it was about $10 billion. And what do you know? That is exactly the number Uber CEO Dara Khosrowshahi shared during the company’s earnings call. He said the company would commit $10 billion “over the coming years” to deploy 120,000 driverless vehicles.

Deals!

money the station
Image Credits:Bryce Durbin

Moove started out as an African fintech company that provided vehicle financing for app drivers. While Moove remains in the mobility sector, it has evolved into a mega ride-hail fleet owner (42,000 vehicles and growing) across 13 countries. 

It has also added a new business division focused on autonomous vehicles. Moove got an early win and is now the fleet operator for Waymo in Phoenix, Miami, and Las Vegas, and in the future, London. But co-CEO Ladi Delano clearly has grander ambitions for Moove — and now he has the fresh capital to try. 

The startup, now based in Dubai, raised $250 million in a Series C round led by Mubadala Investment Company with Woven Capital and Ion Pacific as co-leads. Moove, which is now valued at $2.1 billion, plans to use the funds to scale its autonomous vehicle fleet management business, including hiring about 350 people. 

One interesting item of note: Moove plans to buy Waymo robotaxis and already owns the robotaxi assets of another unnamed company.

Other deals that got my attention this week …

Accell Group Holding, the Dutch bike maker behind brands like Lapierre, Raleigh, and Sparta, was granted a suspension of payments, kicking off an insolvency process. In 2022, a consortium led by KKR bought the firm for 1.56 billion euros ($1.77 billion at the time).

Advanced Electric Machines Group, a U.K.-based manufacturer of rare earth and magnet-free electric motors, raised £16 million ($21.5 million) in a round led by Barclays Climate Ventures, PXN Ventures, Northstar Ventures, and the Low Carbon Innovation Fund. The funding round was complemented by loan support from Innovate UK.

Chargepoly, a French company specializing in the electrification of heavy-duty and commercial vehicle fleets, raised €23 million ($26 million) in a round led by Meridiam.

Hadrian, a defense tech company building automated manufacturing facilities, raised a $1.37 billion round at a valuation of $7.87 billion. The lead investors in the round include WCM Investment Management, Washington Harbour Partners, Valor Equity Partners, 137 Ventures, and Baillie Gifford.

Matel Motion & Energy Solutions, an India-based company developing energy-efficient motors, motor controllers, and integrated powertrains, raised INR 130 crore ($13.6 million) in a Series B funding round led by UC Impower. 

River, the Indian electric vehicle startup, raised $120 million in a Series C funding round led by Elev8 Venture Partners and Claypond Capital. Other investors included Singularity AMC, Anicut Capital, 360 ONE Asset, JIF Capital, HDFC AMC, along with existing backers Yamaha Motors, Al-Futtaim Group, and Mitsui.

Notable reads and other tidbits

Image Credits:Bryce Durbin

Ford has a name and a number for its new midsize EV. It will be called Fathom and will start at $28,350 when it goes on sale in 2027. TechCrunch climate tech reporter and long-time EV owner Tim De Chant argues that Ford needs another Taurus, and the Fathom isn’t it. What do you think? 

Joby Aviation, the electric vertical takeoff and landing company, reported earnings this week. Revenue is up compared with the same quarter last year, thanks to its acquisition of Blade Air Mobility. Net losses shrank a bit to $245 million. One of the more interesting announcements this week, though, was Joby’s partnership with Atoms, Travis Kalanick’s AI and industrial automation startup. The partnership will develop and finance a network of transportation hubs serving air taxis and autonomous ground vehicles with an initial focus on Florida, New York, and Texas, as well as California, according to Joby.

Lucid Motors’ second-quarter earnings struck a somber it’s-time-to-get-down-to-business tone. And that comes with a cost. New CEO Silvio Napoli outlined four must-win priorities that include a $1.4 billion cost savings plan. It’s also banking on a successful robotaxi program with Uber and Nuro and launching its midsize Cosmos EV, which has now been delayed until the second half of 2027. 

Nvidia has released its Alpamayo 2 Super for commercial use — an AI model designed for autonomous driving. The model is available on Hugging Face, and the open license covers commercial redistribution and derivative models that allow AV developers, automakers, and others to adapt Alpamayo to their own data, driving policies, and deployment strategies, the company said.

Teamsters California sued the California Department of Motor Vehicles, alleging that the agency did not properly study and disclose the economic impacts of allowing self-driving heavy-duty trucks on the state’s roads. I reached out to a few AV developers and all declined to comment. However, the Autonomous Vehicle Industry Association did issue a statement: “This lawsuit from the Teamsters sets a new standard in abusive and frivolous litigation and cannot be taken seriously.”

TechCrunch teamed up with New York-based financial research firm Hudson Labs again. This time to map what Elon Musk and Tesla’s other executives have spent the last seven years talking about on the company’s quarterly earnings calls. Check out the full story for graphs and complete findings. Here is a taste: Musk now speaks about artificial intelligence, along with robotaxis and Full Self-Driving software, nearly 50% of the time.

Speaking of Elon Musk, his companies had a newsy week. SpaceX reported its first earnings report as a publicly traded company. The TL;DR: The company doubled its revenue compared to last year, in large part thanks to the growth of its Starlink satellite internet service and deals it struck to rent out computing power to Anthropic and Google. And during the earnings call, Musk made some out-of-this-world claims about the company’s business and future prospects, while his fellow executives tried to bring his ideas closer to Earth.

Meanwhile, Tesla and SpaceX said that “Terafab,” the advanced chip factory they are jointly developing, will be built in Grimes County, Texas, outside Houston, and that they will make an initial investment of $16.8 billion in the project.

The New York Times published an investigation on Uber’s defense strategy against more than 4,000 lawsuits filed by passengers who allege the company failed to protect them from sexual violence. 

Waymo dropped the waitlist for its robotaxi service in Dallas, opening it up to all residents and visitors.

One more thing …

Travis Kalanick, and his AI and industrial automation startup Atoms, is popping up everywhere these days (see that Joby partnership above). Kalanick isn’t just making deals — although remember he did just raise $1.7 billion. The former Uber CEO also appears to be getting the band back together and bringing on former engineers and executives he once worked with. 

For instance, Gautam Gupta, the former finance chief under Kalanick, has joined Atoms as chief financial officer. Gupta spent more than four years at Uber until he left in July 2017, just a few weeks after Kalanick resigned as CEO. 

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