
Software Engineer (Full-stack) at Valency Systems Inc. (Berkeley, CA)
Valency Systems Inc.· Berkeley, CA·
Role details
Job description
About Valency
Valency Systems is a small, dynamic team of engineers, scientists, and researchers building the global hub for the agentic research era. We're based in Berkeley, California, and we're building something that matters. If you care about open science, advancing research at the speed of thought, and using AI to accelerate discovery, we'd love to talk. Our team is hybrid. We come together in person 3 days a week, with the option for 2 days of remote work.
The Position: Software Engineer (Full-stack) You'll learn with the team and ship features across the stack.
What you'll do:
- Build small features end-to-end (frontend + backend). Learn from experienced engineers. Use AI coding tools to accelerate your learning. Pair program. Ask questions. Ship to production. Grow your skills. Help build the future of research infrastructure.
Who You Are
- You have 0-3 years of experience.
- You have a strong educational background in CS or related fields.
- You're already using AI coding assistants.
- You're a team player with a growth mindset.
- You're excited about open science and building infrastructure that advances human knowledge.
Show Us Your Work We want to see what you've built:
- GitHub repos
- Side projects
Compensation, Benefits & Equity
We offer a competitive salary, benefits, and meaningful equity in a company building something important from the ground up.
Work Authorization Candidates must be legally authorized to work in the United States.
Why work at Valency Systems Inc.
- Culture highlights: A science-first, AI-forward startup co-founded by a UC Berkeley professor (astronomy/AI) and a former IBM CTO. Emphasis on human-centered design and rigorous grounding in research.
- Remote/hybrid/office policy: Not explicitly stated, but one job posting is for "AMER" (Americas) time zone and the company is based in Berkeley, suggesting a remote-friendly or hybrid model.
- Notable perks or engineering culture: Early-stage environment with direct impact on product direction; opportunity to work at the intersection of AI, scientific infrastructure, and user experience. The team is described as "wonderful and talented" and is actively growing.