# AI and Computational Geometry Engineer

**Company:** [Atomicmachines](https://hotfix.jobs/companies/atomicmachines)
**Location:** Emeryville, CA
**Role:** Backend Engineering
**Salary:** $200k – $250k/yr
**Experience:** 5+ years
**Skills:** Python, Computational Geometry, 2D Boolean Operations, Polygon Offsetting, Packing Algorithms, No-Fit Polygons, Shapely, Clipper, Opencascade, Cgal, C++, Milp, Constraint Programming, Machine Learning
**Posted:** 2026-08-18

> Build software that converts device geometry into manufacturable geometry under real process constraints. The role requires DFM experience, computational geometry expertise, strong Python and systems programming skills, and collaboration with design, process, and modeling engineers.

## Job Description

## Responsibilities

- Own design-for-manufacturing (DFM) software within the CAM stack, converting device geometry into manufacturable geometry under real process constraints.
- Develop algorithms, representations, and constraints for part arrangement on a blank, retention during processing, and release afterward.
- Encode manufacturability constraints so infeasibility is identified during design rather than at the machine.
- Work with design and process engineers to formalize manufacturing judgment into auditable, testable software.
- Ground DFM decisions in physical process mechanics in collaboration with Modeling and Simulation.
- Define validation criteria for layouts, test against fabrication runs, and incorporate failures into constraints and models.
- Structure production history for calibration, regression testing, and future learned components.

## Requirements

- At least 5 years of relevant industry experience or a PhD in a related field.
- Practical DFM experience writing code that generates geometry under real manufacturing constraints.
- Working knowledge of computational geometry, including 2D Boolean operations, polygon offsetting, packing, and no-fit-polygon reasoning.
- Strong software engineering skills with Python and a systems programming language.
- Experience driving geometry kernels and libraries through APIs.
- Demonstrated ability to work productively on novel, poorly specified problems.
- Willingness to ground work in physical evidence from fabrication and iterate with process engineers.
- Bachelor's, master's, or PhD in Mechanical Engineering, Computer Science, Applied Mathematics, Computational Design, or a related field.

## Nice-to-haves

- Experience with laser micromachining or other subtractive microscale processes, including kerf, heat-affected zones, tabbing, and part release.
- Mechanics knowledge relevant to part stability during processing.
- Experience with combinatorial and geometric optimization using MILP, constraint programming, or metaheuristics.
- Machine learning on geometric data, including meshes, B-rep graphs, neural fields, or learning from expert demonstrations.
- Experience integrating heuristic or learned components into deterministic, auditable pipelines with validation and fallback behavior.
- Familiarity with CAE tools such as COMSOL, Ansys, or Abaqus.
- Contributions to open-source geometry or manufacturing software.

## Compensation and Benefits

- Salary range: $200,000–$250,000 USD.
- Equity and benefits included.

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