Becoming

AI-guided closed-loop mammalian development systems

Robotics Engineer - Product / Electrical

Hardware Systems IntegrationConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

An engineering degree or equivalent demonstrated depth is required.
Experience architecting and shipping custom PCB-based systems is required.
Strong mixed-signal design capability across analog and digital is required.
Experience taking boards from design through bring-up and production iteration is required.
Demonstrated ownership of hardware systems operating in real-world conditions is required.
Functional fluency across mechanical and firmware domains is required.
Ability to operate without rigid process scaffolding or pre-validated platforms is required.

Responsibilities

Own end-to-end complex, integrated hardware platforms.
Design multi-layer PCB architectures, including schematic capture, layout, grounding strategy, stack-up design, signal integrity, power distribution, and EMI mitigation.
Design mixed-signal boards and low-noise sensing systems.
Bring up boards, debug hardware, and iteratively refine designs.
Develop firmware for real-time control, monitoring, and fault tolerance.
Integrate mechanical systems while accounting for thermal, vibration, and environmental constraints.
Analyze failures under continuous operation.
Perform reliability engineering and stress testing.
Establish engineering standards, documentation, and scalable build processes.
Define requirements, make tradeoffs, and own outcomes for end-to-end hardware products.

Desired Qualifications

Experience with multi-board architectures and distributed control.
Experience with precision sensing systems and low-noise analog front ends.
Experience with robotics or advanced instrumentation platforms.
Experience designing systems for continuous runtime.
Clear examples of reliability tradeoffs made and owned.

Robotics Engineer (Product / Electrical)

Becoming · San Francisco, United States · Full-time · Posted 2026-11-04

Workplace: on_site

Description

About Becoming

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.

The Role

We are hiring a Robotics Engineer (Product / Electrical) to design and own end-to-end hardware products at the core of Becoming’s platform.

This is not a component role. You will design complete systems — mechanical, electrical, and firmware — and take responsibility for whether they work in the real world.

You may go deepest in one domain, but you must be fluent across all three. No handoffs. No silos.

High agency is required. You will define requirements, make hard tradeoffs, and own outcomes.

What You’ll Own

End-to-end ownership of complex, integrated hardware platforms
Multi-layer PCB architecture: schematic capture, layout, grounding strategy, stack-up design, signal integrity, power distribution, EMI mitigation
Mixed-signal board design and low-noise sensing systems
Board bring-up, hardware debugging, and iterative refinement
Firmware for real-time control, monitoring, and fault tolerance
Mechanical integration with attention to thermal, vibration, and environmental constraints
Failure analysis under continuous operation
Reliability engineering and stress testing
Engineering standards, documentation, and scalable build processes

Who You Are

You are someone who:

Operates with high agency — you identify problems, define solutions, and execute
Takes end-to-end ownership of what you build
Brings high energy to complex, ambiguous engineering challenges
Acts with high integrity — you are honest about tradeoffs, risks, and failure modes
Communicates directly and clearly, especially when something won’t work
Is self-aware about your strengths and gaps, and proactively fills them
Thinks like a systems integrator, not a narrow specialist
Cares deeply about understanding systems at a first-principles level

Requirements

Engineering degree or equivalent demonstrated depth
Experience architecting and shipping custom PCB-based systems
Strong mixed-signal design capability (analog + digital)
Experience bringing boards from design through bring-up and production iteration
Demonstrated ownership of hardware systems operating in real-world conditions
Functional fluency across mechanical and firmware domains
Ability to operate without rigid process scaffolding or pre-validated platforms

Strong Signals

Multi-board architectures with distributed control
Precision sensing systems with low-noise analog front ends
Robotics or advanced instrumentation platforms
Systems designed for continuous runtime
Clear examples of reliability tradeoffs you’ve made and owned

Benefits

Competitive salary and meaningful equity
Full benefits
High-trust, high-ownership environment
Rapid growth in scope and responsibility

Apply

Apply at Becoming

About the Company

Becoming

AI-guided closed-loop mammalian development systems

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.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2023

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