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Hardware Physicist

Midjourney • Generative Image • Foundation Models • 5 days a week in the office • Doctoral Degree (PhD) • 30 days ago

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Salary

≈ $75k – $206k per year (Estimated)

Location

Hybrid (San Francisco, United States)

Visa

H-1B filings in 12 months: 2

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Sep 7, 2026.

Overview

Company

Impact

Profile match

Midjourney

Midjourney is an independent research laboratory whose text to image models set the visual quality benchmark for generative imagery for several years. Its products run inside a community platform where millions of users generate and refine images together, an unusual distribution choice that shaped the culture around generative art. The company remains self funded, has never raised outside venture capital and operates with a very small research team; its models are trained and served entirely on infrastructure the company controls.

midjourney.com • HQ: San Francisco, United States • Foundation Models • Generative Image • Est. 2021

Tech stack of Midjourney

Backed by Silicon Valley Investclub, Valueaddvc, Redbud VC

What You'll Do

Midjourney is seeking physicists to develop revolutionary quantum hardware technologies.

What We're Looking For

Multiple years of experience working in experimental quantum physics (Ph.D.-level or similar)
Proficiency in the design, implementation, and troubleshooting of experiments
Hands-on experience with laser-based optical measurements
Ability to work on-site (up to five days/week) in the San Francisco Bay Area
Given the nature of the work, U.S. citizenship is required.

Useful Experience:

Broad familiarity with quantum computing and/or sensing platforms
Track record of delivering cutting-edge systems that work outside the lab
Strong physical intuition about fundamental signal origins and noise sources
Hands-on experience with optics, optoelectronics, photodetectors, and optical fibers
Familiarity with next-generation photonic technologies
Experience inventing new tools and processes to address experimental challenges
Proficiency using the latest AI tools to accelerate workflow
Excellent data visualization and presentation skills

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