Software Engineer (Geometry Processing)

International Family Entertainment, Inc.
Los Angeles, CA, United States
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$135,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

3D Printing Computer-Aided Design Application Programming Interfaces (APIs) Artificial Intelligence C++ (Programming Language) Computer Engineering Game Engine Machine Learning Preprocessor Computational Geometry Software Engineering Spatial Data Infrastructures
+5 more
Visual Effects Graphics Processing Unit (GPU) Backend Information Technology Stable Diffusion

Job description

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

Metal 3D printing at production scale is one of the hardest unsolved problems in manufacturing, and geometry processing sits at the center of it. At Freeform, the geometry pipeline is not a preprocessor that hands off to a printer, but the intelligence that drives the entire machine. Our stack spans GPU-accelerated mesh processing, physics-informed simulation, real-time toolpath generation, and closed-loop geometric feedback during the print itself. NVIDIA invested in Freeform because of it.

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

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

Preferred Skills and Experience:

  • MS or PhD in computer science, computational geometry, applied mathematics, or related field highly preferred
  • Familiarity with neural geometry processing or learned representations (e.g. neural fields, point cloud networks, diffusion-based mesh generation)
  • Experience interfacing with CAD and CAM software APIs (understanding of CAD import)
  • Experience working with Signed Distance Field (SDF) representations of geometry
  • Experience with spatial data structures and GPU-friendly geometry representations (e.g. BVHs, octrees, tetrahedral meshes, volumetric grids)
  • Experience with cloud-based geometry processing or distributed compute workloads

Benefits & conditions

  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
  • Compensation
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.
  • In addition to the significant stock option package, the estimated salary range for this role is $135,000-$250,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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