Spacial AI · San Francisco
Software EngineeringEngineeringRemoteFullTimeposted 4mo ago
About Spacial:
At Spacial, we’re redefining how the built world gets designed, engineered, and approved. With decades of combined experience across architecture, engineering, and construction, we’ve felt the industry’s pain points firsthand — slow approvals, endless redlines, and unclear requirements that derail even the best designs.
We built Spacial to fix that. Our AI-powered platform automates structural and MEP engineering, transforming 2D plans into permit-ready, code-compliant drawings in days, not months.
This isn’t just optimization. It’s a new standard built to give the AEC industry speed, clarity, and control from day one. By connecting architects, engineers, builders, and homeowners on a single platform, Spacial eliminates friction, streamlines approvals, and accelerates how ideas become reality.
Role Overview
We are looking for a Software Engineering Intern to join Spacial for Summer 2026. This role is ideal for a student who is excited about building real product features, improving internal workflows, and working on applied AI initiatives. You will work closely with our team to develop features for our website, support workflow automation, and help with projects involving LLMs and AI model training.
This is a strong opportunity for someone who wants exposure to how a startup operates across multiple functions. The tools, workflows, and AI systems you help build may support a range of areas, including but not limited to go-to-market, operations, internal processes, and product development.
What You’ll Do
Build, test, and ship features on the Spacial website
Help design and improve internal tools and workflow automations that increase speed and efficiency across teams
Support LLM- and AI-powered initiatives that can be applied across various parts of the business, including go-to-market, operations, customer workflows, and internal knowledge systems
Assist with training, evaluating, and improving AI models and prompts for practical business use cases
Collaborate with engineering, product, operations, and leadership on cross-functional projects
Prototype new tools and systems that help automate manual work and improve team productivity
Support debugging, QA, and deployment of new features and internal systems
Contribute to the technical implementation of experiments that improve how the company operates and serves customers
Example Projects
Building new user-facing features and improvements for the Spacial website
Creating internal dashboards, scripts, or lightweight tools to streamline team workflows
Supporting LLM-based workflows for research, operations, customer support, or go-to-market efforts
Improving data pipelines or processes that help teams work more efficiently
Experimenting with AI tooling to reduce manual tasks and support faster decision-making
Assisting with backend integrations and automation across internal systems
Qualifications
Qualifications
Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Strong programming skills in languages such as Python, JavaScript, or TypeScript
Interest in AI, LLMs, and practical software development
Comfortable working in a fast-paced startup environment
Strong problem-solving skills and attention to detail
Interested in gaining exposure to the many functions involved in building and running a startup
Nice to Have
Experience building web applications
Exposure to backend development and APIs
Experience with machine learning tools or AI model workflows
What You’ll Gain
Hands-on experience building real-world software features
Exposure to applied AI and LLM-based workflows
Opportunity to work closely with a startup team and contribute to meaningful projects
Mentorship from experienced engineers and operators
Location & Duration
Summer 2026 (10–12 weeks)
Must be able to commute to our office in Palo Alto, CA