Algorithm Engineer

About Spacial:

At Spacial, we’re redefining how engineering teams deliver building plans.

Our platform serves as your AI-powered engineering partner for structural and MEP (mechanical, electrical, plumbing) design. We combine AI-driven models with licensed engineers to deliver coordinated, stamped plans that pass city reviews faster — all in one place.

From structural, mechanical, electrical, and plumbing, to Title 24, Spacial streamlines the entire engineering process into a single intelligent workflow.

The result: cleaner installs, faster approvals, and happier architects and builders.

About the role:

We’re looking for a highly capable Algorithm Engineer with a strong scientific and computational background to join our growing AI team. This role is ideal for candidates who thrive on solving complex engineering and optimization problems, from conceptual modeling to production-grade implementation.

You’ll develop algorithms that drive our core automation and analysis workflows — spanning domains like structural modeling, performance optimization, geometry processing, and machine learning. Your work will directly impact how projects are engineered, reviewed, and executed at scale.

What You'll Do

• Design, develop, and optimize core algorithms that power structural and MEP automation.
• Build robust computational pipelines integrating numerical methods, geometry, and AI-driven logic.
• Translate scientific or engineering problems into algorithmic frameworks and working code.
• Prototype and evaluate new methods for design analysis, optimization, or prediction.
• Collaborate with AI engineers, domain experts, and licensed professionals to translate theory into production systems.
• Contribute to system architecture and integration of algorithmic modules into cloud-based, production-ready environments.

What You Bring

• Strong academic background in a relevant field — such as Electrical Engineering, Computer Science, Physics, Applied Mathematics, Computational Biology, Chemistry, or related disciplines.
• Proven hands-on experience in algorithm design and development (at least 5 years preferred).
• Demonstrated ability to solve computational or optimization problems end-to-end, from formulation to working implementation.
• Solid programming skills, preferably in Python (experience with NumPy, SciPy, OpenCV, or similar libraries).
• Understanding of AI/ML techniques, and ability to leverage them pragmatically within algorithmic workflows.
• Strong analytical thinking, creativity, and a methodical approach to problem-solving.

Nice to Have

• Familiarity with geometry processing, signal/image analysis, or simulation methods.
• Experience integrating algorithms into cloud-based or production-grade systems.
• Exposure to deep learning, reinforcement learning, or computational optimization frameworks.
• Industry experience in engineering automation, CAD/BIM systems, or scientific computing.

This is a senior technical position for individuals who bridge science, engineering, and computation. If you’ve ever taken a complex problem — mathematical, physical, or algorithmic — and turned it into a working system, we’d love to meet you.