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Careers at Zenera

Build self-improving AI systems

Work on self-improving agentic systems that investigate, write code, test their own work, and return to the next problem more capable.

Open roles

Choose the work that fits you

We hire at every level. Each role includes practical tasks ranging from focused investigations to open design problems.

Runtime and platform engineering

AI Software Engineer

San Francisco or Remote Globally

Engineer the self-improving runtime that turns frontier AI into dependable autonomous systems.

Quality engineering and evaluation

QA Engineer

San Francisco or Remote Globally

Define how self-improving AI proves it is correct, dependable, and ready for the real world.

CI, release, and supply chain

DevOps / Release Engineer

San Francisco or Remote Globally

Build the delivery foundation that lets autonomous systems evolve safely at production speed.

Discovery, delivery, and evaluation

AI Solution Engineer

San Francisco or Remote Globally

Turn ambitious operational problems into adaptive agent systems that deliver measurable results.

How it works

Your work is the application

There is no generic take-home quiz. Choose a real problem, improve it, and show us how you think.

01

Choose a role and challenge

Use one of our examples as a starting point, adapt its scope, or propose a focused challenge of your own.

02

Build in a fork

Work in a branch of the ZeneraNeo repository and approach the change as a real contribution.

03

Open a pull request

Explain the problem, your improvement, the evidence, and the scope you deliberately left out.

04

Discuss the work with us

We read the pull request before the call, then talk through your choices, evidence, trade-offs, and what you would do next.

What matters here

Evidence, judgement, and clear communication

We care about what you verified, which trade-offs you made, and whether another engineer can reproduce your result. A narrow change done well beats a large change done thinly.

Verify

Back claims with tests, output, timings, or files.

Choose

Define a realistic scope and say what you left out.

Explain

Write for a reviewer who was not there.