Optics Engineer
Becoming
Optics Engineer
Becoming
AI-guided closed-loop mammalian development systems
Becoming · San Francisco, United States · Full-time · Posted 2026-07-16
Salary: USD 130,000–180,000
Workplace: on_site
Becoming is building Developmental Intelligence: AI for predicting how organisms change over time.
Most experimental systems fail when metabolic demands become too high. We are building systems that don’t — by combining engineered metabolic environments, sensing, control, and software into tightly integrated products that operate reliably over long time horizons.
Hardware is core to our platform. It must work continuously, predictably, and under real biological constraints.
We are hiring an Optics Engineer to architect and own optical subsystems within Becoming’s integrated hardware platform.
This is a senior builder role. You will design stable, production-grade optical systems that integrate tightly with mechanical structures, electronics, firmware, and data systems — and you will be accountable for their real-world performance.
This is not a research imaging role. You will think in terms of alignment stability, signal integrity, manufacturability, and long-duration runtime.
You will define specifications, make architecture decisions, and own outcomes.
You are someone who:
Strong Signals
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Becoming.ai builds robotic systems with closed-loop metabolic control to sustain mammalian development outside the body, paired with AI models that learn how development unfolds under different interventions. Its core hardware delivers nutrients, removes waste, and controls gas exchange in real time, creating a controllable environment for long-running developmental data. The AI analyzes this data to predict developmental trajectories and identify interventions that shift outcomes, enabling virtual organism models. The company differentiates itself by combining hardware-enabled metabolic exchange with dynamical AI models to generate and study controlled developmental data over extended periods, rather than just analyzing static biological samples. Its goal is to enable long-term, predictable developmental studies that can inform regenerative medicine, drug discovery, and fundamental developmental biology.
Explore more opportunities at Becoming