- Robot type
- Industrial Automation
- Location
- Los AngelesCaliforniaUSA
- Job type
- Software
- Posted
- Mar 18, 2026
- Salary
- $160,000–$300,000 a year
Computational Geometry Software Engineer
Job description
Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built.
Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen.
If you’re ready to take on the most challenging and rewarding work of your career while helping…
Job responsibilities
- Build systems that analyze CAD models to drive manufacturability decisions and generate real-world manufacturing processes
- Develop high-performance geometry and analysis pipelines in C++ and Python, including production GPU-accelerated workflows
- Integrate with CAD/CAM systems such as NX, hyperMILL, and other engineering tools
- Own system performance and reliability in production- testing, profiling, and continuously improving them
- Help expose internal capabilities through APIs and web-based tools that make them usable across the company
- Engage in process and product discovery alongside experts in manufacturing and software, working on ambiguous, real-world problems
Job requirements
- Bachelor’s degree or higher in Computer Science, Mathematics, Physics, or a related field
- Strong programming skills in C++ and Python, with experience building and shipping production systems
- Experience with CAD systems or geometric modeling, including kernels like OpenCascade or Parasolid
- Experience with GPU-accelerated computing in production or performance-critical environments
- Comfortable working across the stack when needed, including developing and exposing systems via web services (gRPC, SQL, TypeScript, Docker, etc.)
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