About Us

• We're building a next-generation AI enabled assistant for hardware designers - one that doesn't just understand design, but helps improve it. Our system blends machine learning, 3D geometry, simulation, and constraint reasoning to guide engineers through meaningful design exploration

• We are building foundation models for geometry and physics. Our first model is shipped and we are expanding our capabilities!

• We are backed by Khosla Ventures and Eclipse Ventures

Role Overview

We are looking for a Data Engineer who can help us build systems that are scalable and are adept at working with application data. This role is about helping us build out our systems so they can grow with our models, applications and feature suite.

In this role you become an expert in our data schemas, data transforms, and pipelines that provide pathways to new features and allow our customers to efficiently use our application.

Your Qualifications

• 5+ years of experience in Data engineering, with some of this time working in systems that facilitate ML models

• Experience with data transformation and optimization techniques for scaling applications and ML systems

• Worked in Python to transform data into pipelines using Postgres, Alembic, and SQLAlchemy.

• Strong grasp of SQL and comfortable with optimizing SQL for production.

• Knowledge of orchestrators like Airflow, Dagster, and Temporal

• Comfortable working in startup environment with comfort understanding dataflows across the stack.

Nice to Haves

• Experience working with agentic systems

• Experience working in on prem containerized deployments

Why This Role Is Different

• We’re not chasing toy benchmarks or leaderboard wins.

• You’ll be part of a team that cares deeply about real-world impact, clean abstractions, and usable AI tools for human designers.

• You’ll have autonomy to pursue principled approaches, backed by a strong foundation in AI and design engineering.

Compensation Range: $140K - $170K