Join the team redefining how we compute.

TBC is for the intrepid. For people drawn to unanswered questions. Who look at AI and know we have not found the best way to build it yet. Who are willing to cross disciplines, challenge assumptions and venture into the unknown to discover what comes next.

This work isn't for everyone.

The people who thrive here tend to share a few things.

Rigorous about evidence.
Ambitious about possibility.

We hold big ideas to rigorous standards: strong controls, reproducible experiments, and honest benchmarks.

We follow the evidence, including when it proves us wrong. And we keep pushing at questions others might dismiss as impossible.

Deep in one thing.
Curious about everything else.

Neurosurgeons, neuroscientists, biologists and AI researchers work side by side.

Be the expert in the room one minute and the beginner the next. Go deep in your craft. Ask questions outside it. And get comfortable saying, “I don’t know. Show me.”

Think in decades.
Deliver every week.

Our long-term ambition is real-time biological computing. But progress has to show up every week: reproducible findings, stronger benchmarks and useful software.

The horizon is long. The work in front of us is immediate.

“I don’t know of another company bringing so many disciplines together like this. We’ve had to build a shared language because the breakthroughs happen in the connections between them. That’s what makes the work so hard, and so transformative.”

William Barnes, PhD

TBC’s First Full Time Employee

There's no other team built like this.

Biology, neuroscience, AI and engineering rarely work as one team. Here, they do.

A discovery can begin with real neurons and end up running inside an AI model.

You don't need to be an expert in every discipline. You need to want to work with people who are.

Biology

“We’re working with live neurons, so the system is dynamic by nature. That’s what makes it exciting. Every experiment is a chance to discover something new about how the network behaves."
Dominique Cajanding
Biology Research Scientist

Neuroscience

“Our job is to look at what the neurons are doing and ask what computations they are capable of. A lot of hypotheses won’t hold up. But when one does, we may be looking at a principle evolution spent millions of years refining.”
Steven Jerjian, PhD
Neuroscientist

AI Research

“We turn what we learn from neurons into mathematical models and new neural network components and test whether they make AI better. When they work, they can challenge basic assumptions about how AI should be built.”
Yuan Yen Tai, PhD
Staff AI Researcher

Go-to-Market

“We take something that started as an observation in living neurons and turn it into software someone can actually use. There’s no established category or playbook. We get to create one.”
Sandeep Ankin
Product and Sales Engineer

A few things you might be wondering.

Bio-derived.

We run experiments on real neurons on electrode arrays, measure how they process information and translate useful discoveries into software.

Biology is part of the discovery process, not a metaphor for it.

Today, biology sits upstream of deployment. The neurons are part of our discovery loop, not the customer’s inference loop. The resulting software runs on standard AI hardware.

Longer term, we are building toward systems where biology and silicon compute together directly.

Depends on the role. Our biology and neuroscience positions require relevant expertise; most other roles do not. 

Curiosity matters across the company. You'll work with people from different disciplines, and learning from them is part of the job.

Both, deliberately.

We use biological research to discover better ways to compute, then test those discoveries in real AI systems.

Today, that means inference optimization. Over time, the same work supports new architectures and real-time biological computing.

The distance between an idea, an experiment and a decision is short.

You'll work directly across teams, with close access to the founders and meaningful ownership of the outcome.

We care more about finding what works than protecting how things have always been done.

Come shape the future of computing.

Some careers let you improve what already exists. At TBC, you get to invent what comes next.