Product Engineer

About the role

📍 San Francisco | 🏢 5 Days Onsite

Location: Onsite in San Francisco

Compensation: Competitive Salary + Equity

Who We Are

Engineering simulation is one of the last major categories of software that AI hasn't rebuilt. The tools used to design aircraft, ships, reservoirs, and medical devices still run on numerical methods that are decades old, and an engineer can wait a full day for a single answer. UniversalAGI is building foundation models that learn physics directly from data, and they are already running in early deployments on real computational fluid dynamics and reservoir engineering problems for some of the largest industrial and defense organizations in the world.

We are a team of 25 researchers and engineers in San Francisco backed by Elad Gil (#1 Solo VC), Eric Schmidt (former Google CEO), Ion Stoica (Databricks Founder), Jared Kushner (former Senior Advisor to the President), David Patterson (Turing Award Winner), and Luis Videgaray (former Foreign and Finance Minister of Mexico).

About the Role

UniversalAGI is hiring a Product Engineer to own and extend our customer-facing product across the stack. You will join a team of 25 researchers, engineers, and domain experts supporting early deployments in computational fluid dynamics and oil and gas reservoir engineering.

You will build the product experience through which engineers import CAD and 3D geometry, simulation and test data, and operating conditions; configure model workflows; monitor simulations and model jobs; compare predictions against trusted benchmarks; and deploy or export results.

This role owns the customer-facing product layer, including user workflows, interfaces, APIs, data models, visualization, and integrations. You will partner with platform engineering on the underlying ML execution infrastructure and with researchers who own model architectures and scientific methods.

You’ll work directly with the CEO, founding team, and customers to turn advanced research into reliable, repeatable engineering workflows.

What You'll Do

- Own Customer Workflows: Build the end-to-end product experience from geometry and engineering data through model configuration, benchmarked predictions, and deployed or exported results.

- Ship Across the Stack: Develop production features using React, TypeScript, Next.js, Python, databases, cloud services, and APIs.

- Design Clear Product Abstractions: Create intuitive interfaces, workflow templates, and APIs for simulations, datasets, model jobs, evaluations, uncertainty, and engineering outputs.

- Work Directly with Customers: Understand real engineering processes, identify recurring needs, and turn customer-specific lessons into scalable product capabilities.

- Own Production Quality: Improve observability, performance, versioning, migrations, compatibility, and incident diagnosis across the customer-facing product.

- Shape Product and Architecture: Partner with the founding team, Research, and Platform Engineering to define priorities, interfaces, and technical direction.