InfinitForm
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Full-time | Hybrid (LA / Orange County) or Remote
InfinitForm is building the Physical AI platform for engineering teams.
We help manufacturers generate production-ready designs dramatically faster by bringing simulation, optimization, manufacturability constraints, and editable parametric CAD into one workflow.
Today, engineering teams often spend months moving from concept to validated, manufacturable design. InfinitForm compresses that cycle from months to days — helping teams explore more design options, reduce late-stage rework, and bring better physical products to production faster.
Our platform is designed for aerospace, automotive, defense, robotics, and advanced manufacturing companies operating at the frontier of physical product development.
Backed by leading investors and built by pioneers in computational geometry, simulation, and advanced manufacturing, InfinitForm is defining a new category at the intersection of AI and engineering.
We’re looking for a skilled and driven Finite Element Analysis & Structural Optimization Engineer to join our core engineering team. The seniority level for this role is flexible.
You’ll work at the intersection of computational mechanics, simulation, optimization, and AI-native engineering workflows — helping build the core simulation and optimization infrastructure behind InfinitForm’s platform.
This is a deeply technical, hands-on role focused on building high-performance systems for structural simulation and generative engineering. Your work will directly shape the algorithms and solvers powering a new generation of engineering software for the physical world.
You’ll collaborate closely with researchers, computational engineers, geometry engineers, and product teams working on complex real-world problems across aerospace, automotive, defense, robotics, and industrial manufacturing.
Design, implement, and optimize finite element analysis (FEA) solvers and structural simulation pipelines
Develop high-performance simulation infrastructure for large-scale engineering optimization workflows
Improve solver stability, accuracy, scalability, and runtime performance
Build production-quality numerical software in C++ for scientific and engineering computation
Contribute to GPU-accelerated simulation and optimization systems
Develop structural optimization algorithms including topology, shape, and sizing optimization
Work on sensitivity analysis, constraint handling, and optimization methodologies
Explore new approaches to simulation-aware and manufacturability-aware optimization
Contribute to research-oriented problem solving across engineering and computational geometry domains
Help bridge optimization outputs into production-ready CAD workflows
Collaborate closely with Product, Research, and Application Engineering teams
Participate in technical architecture discussions, code reviews, and solver design decisions
Document technical findings and communicate complex ideas clearly across the team
Help shape the technical direction of InfinitForm’s core engineering platform
Meaningful improvements in optimization quality, manufacturability, and runtime performance
Technical contributions that directly improve customer outcomes and platform capability
Strong collaboration between simulation, geometry, and product engineering teams
MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computational Mechanics, Computer Science, or a related technical field, with a focus on FEA, structural optimization, numerical methods, simulation, or scientific computing
Strong foundation in finite element analysis, solid mechanics, and numerical methods
Deep understanding of structural optimization techniques including topology optimization and sensitivity analysis
Strong C++ experience for scientific, numerical, or high-performance computing applications
Strong mathematical and problem-solving skills
Ability to work independently on complex technical systems
Collaborative mindset and ability to communicate technical ideas clearly
Curiosity and excitement for solving difficult engineering and computational problems
Experience with GPU computing (CUDA, OpenCL, or similar)
Familiarity with parallel computing or HPC environments
Background in computational geometry, CAD/CAE systems, or generative design
Experience with large-scale numerical optimization systems
Published research or advanced academic background in computational mechanics, simulation, or optimization
Experience working on production engineering software platforms
Work on foundational technology shaping the future of engineering and manufacturing
Solve genuinely difficult computational and optimization problems with real-world impact
Work alongside a highly technical team including multiple PhDs across computational geometry, simulation, optimization, AI/ML, and advanced manufacturing
Help define a new category at the intersection of AI and engineering
Competitive compensation and meaningful equity
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