Onsite
Full Time Software Architecture & Engineering
Requirements
Bachelor's degree in computer science, computer engineering, applied mathematics, or similar AND 5+ years of software development experience, OR Master’s degree in aforementioned fields with 2+ years of experience, OR PhD in aforementioned fields
Proficiency with C++
Experience using GPUs for geometry processing
(Desirable) MS or PhD in computer science, computational geometry, applied mathematics, or related field highly preferred
(Desirable) Familiarity with neural geometry processing or learned representations (e.g. neural fields, point cloud networks, diffusion-based mesh generation)
(Desirable) Experience interfacing with CAD and CAM software APIs (understanding of CAD import)
(Desirable) Experience working with Signed Distance Field (SDF) representations of geometry
(Desirable) Experience with spatial data structures and GPU-friendly geometry representations (e.g. BVHs, octrees, tetrahedral meshes, volumetric grids)
(Desirable) Experience with cloud-based geometry processing or distributed compute workloads
Location: Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country
What the job involves
In this role, you will own core systems at the intersection of 3D geometry and real-time GPU compute
If you have spent your career making geometry fast and correct, whether in game engines, real-time rendering, visual effects, or simulation, the underlying structure of the problems will feel familiar
What will not feel familiar is the stakes: your geometry runs on machines building real parts out of metal, at a factory-scale that’s never been done before
You will work across the full stack, from mathematical geometry representations to the GPU kernels that transform them, alongside engineers who bring the same depth of thinking to every problem
We look for engineers who have gone deep on hard geometry problems and are ready to do that work where the output is physical
Develop GPU-accelerated algorithms for mesh deformation, procedural geometry generation, parallel spatial queries, and volumetric space-filling operations
Collaborate with simulation and hardware engineers to integrate physics-based and sensor models into the GPU compute pipeline
Partner with data scientists to integrate neural geometry processing and machine learning models for print quality prediction and in-process optimization
Design and develop the end-to-end print preparation pipeline, from CAD ingestion and mesh repair through GPU-parallelized slicing, adaptive toolpath generation, and hardware handoff, for a production-scale metal 3D printing system
Work with backend software engineers to architect the interface between the geometry processing stack and the metal 3D printing hardware layer
Build production automation solutions across the geometry processing pipeline, including automated defect detection and in-process geometry correction
Develop integrations with third-party CAD and CAM software APIs, with a focus on robust and maintainable interchange pipelines
Write production-quality C++ across the geometry stack: performant, well-tested, and built to last in a real manufacturing environment
Generate and maintain documentation of designed software and integrated systems