Software Engineer (Full Stack) at Da Vinci

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

20 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Full Stack Development, Frontend Technologies, Backend Experience, API Design, Data Pipelines, Time-Series Data, System Integration, Device Control, Internal Tools, Software Reliability, Observability, Failure Handling, Clean Abstractions, Communication, High Agency, Product Minded

Industry

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 tightly integrating hardware, biology, and software into platforms that operate continuously over long time horizons. Software is the connective tissue of this platform. It turns physical systems into controllable, observable, and ultimately predictable systems. The Role We are hiring a Full Stack Software Engineer to build and own core software systems across the stack — from user-facing interfaces to backend services, data pipelines, and system integration. This role is for a product-minded, end-to-end builder. You will work across device control, data pipelines, internal tools, and interfaces to create software that scientists, engineers, and models rely on daily to operate, monitor, and reason about complex, time-evolving systems. This is a high-agency role. You will help define what software should exist, how it should be structured, and how it integrates with hardware and data — not just implement pre-defined tickets. What You’ll Own Full-stack software systems spanning UI, backend services, and data infrastructure Interfaces and internal tools used by scientists and engineers to operate, observe, and debug systems Backend APIs and services that support experimentation, control, and analysis Data pipelines for longitudinal, high-frequency, time-series data Integration layers between software, hardware, sensors, and control systems System reliability, observability, and failure handling for long-running processes Clean abstractions that make complex systems easier to reason about and extend Who You Are You are someone who: Operates with high agency — you see gaps across the stack and take ownership of fixing them Takes responsibility for end-to-end product outcomes, not just individual components Brings high energy to building robust, usable, real-world software Acts with high integrity — you care about correctness, reliability, and clarity Communicates directly and clearly, especially when tradeoffs or failures arise Is self-aware about your strengths and gaps, proactively fills them and open to feedback Thinks in terms of systems and interfaces, not just features or screens Enjoys moving fluidly between frontend, backend, and infrastructure work Required Degree in computer science, engineering, or equivalent practical experience At least 1 year of industry experience as a full stack software engineer Strong proficiency in modern frontend technologies (e.g. React, TypeScript, or similar) Strong backend experience (e.g. Python, Go, Rust, Node, or similar) Experience designing and maintaining APIs, services, and data models Comfort working with time-series data and stateful systems Ability to operate in fast-moving environments with incomplete requirements Strong Signals Experience building internal tools or developer-facing products Experience interfacing software with hardware or physical systems Background in scientific computing, robotics, or infrastructure-heavy products Experience owning features from initial design through production deployment Competitive salary and meaningful equity Full benefits High-trust, high-ownership environment Rapid growth in scope and responsibility

Responsibilities

You will build and own core software systems across the stack, including user-facing interfaces and backend services. This role involves creating software that scientists and engineers rely on to operate and monitor complex systems.