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Software Engineer; Berkeley, CA

Job in Berkeley, Alameda County, California, 94709, USA
Listing for: Civic AI Security Program, a 501 (3) nonprofit
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (Berkeley, CA)

CivAI is a non-profit that educates policymakers and the public about AI risks using live software demonstrations. To date, CivAI has delivered 100+ briefings to organizations across civil society (on AI-cyber risks, deepfakes, and elder fraud) and the US government (on biological risks, elections, and more). Its work has been featured on national television by ABC News and Scripps News, and in print by the New York Times, the Washington Post, TIME, CNN, and many others.

About

the role

As a Member of Technical Staff, you will research, build, and refine the software demonstrations that are at the core of what we do. These will explain both prosaic AI capabilities and more nascent ones that are fast approaching.

This role primarily involves creative software engineering, with flexibility across many domains like interface design, message testing, conducting user interviews, and interfacing with partner organizations.

We'd love to hear from you! If you have any questions about this role, please email us  Final date to receive applications is April 17, 2026.

Refer someone you think would be a great fit for CivAI. If we hire them, you'll receive $2,500 once they've been employed for 6 months. Submit a referral here and learn more about the referral program here.

In this role, you will:
  • Build our demonstrations from end to end, acting as an agentic, creative, and conscientious hacker on a collaborative team.
  • Write quality software. That includes considered UI/UX, products that are robust to misuse, and performant code.
  • Come up with new demonstrations that our audiences will find meaningful. See the Representative Projects section for more.
  • Use a wide variety of frontier AI systems and tinker with them when necessary. ML engineering skills are not needed.
  • Stay on top of AI progress in order to educate our audiences and inform new demonstrations. You will often read papers and prototype demos reproducing them.
  • Iterate quickly on lightweight projects that pack a rhetorical punch, rather than toil for months on a surgical change to an enterprise codebase.
  • Communicate understanding about AI through the software and its accompanying text, in the spirit of interactive explainers or data journalism.
You may be a good fit if you:
  • Want to help the world understand AI's implications, so that future AI progress is deliberate and beneficial for humanity.
  • Have built complete software projects that you're proud of, especially full stack web applications. These can be from jobs, side projects, hackathons, or internships.
  • Enjoy brainstorming about creative ways to showcase how AI is going to manifest in the world.
  • Enjoy gray-hatting frontier AI systems.
  • Care about perfecting the entire user experience, from the look and feel of the UI to the speed of the AI inference.
  • Have an opinionated aesthetic sense of what makes a good software API or user interface.
  • Are willing to roll up your sleeves and try everything to get something working, even when documentation is sparse and the path forward is unclear.
Representative projects
  • A presentation for high level decision makers featuring several demos about loss of control to advanced AI systems, including our recent demo about emergent misalignment.
  • A presentation for policymakers showing how frontier AI systems can be used for mass surveillance and bioweapons.
  • Our policymaker demos suite, which starts with someone's Linked In and makes instant deepfakes of them using a combination of open models, writes personalized phishing emails with Gmail-like UI, creates fake news Tweets and NYT articles, and more.
What this role is not:
  • Since our work is primarily making demos and presentations, the role involves relatively little "production app" work like infrastructure management and job orchestration.
  • We do not perform novel research ourselves. We follow and communicate research done by others and build mockups of existing systems like AI surveillance tools.
  • We do not do ML engineering. The lowest-level work we do is tinker with fine‑tuning and self‑host a few open models.
Salary and benefits
  • The role is full-time and on-site at our office in Berkeley. We may be open to remote for exceptional candidates.
  • T…
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