Software Engineering Intern

Spacial

Palo Alto (CA)

On-site

USD 41,328 - 55,104

Full time

14 days+

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Benefits offered by this job

Mentorship from engineers
Hands-on project experience

Job summary

Spacial is seeking a Software Engineering Intern to join our Palo Alto team and contribute to real product features and AI initiatives. You will help build user-facing features for the website, improve internal tools, and work on LLM-driven workflows with mentorship from engineers and product leaders.

The role offers hands-on experience across multiple functions in a startup, including go-to-market, operations, and product development, with a focus on practical AI applications and automation.

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Interest in AI, LLMs, and practical software development.
  • Comfortable working in a fast-paced startup environment.
  • Strong problem-solving skills and attention to detail.

Responsibilities

  • Build, test, and ship features on the Spacial website.
  • Help design and improve internal tools and workflow automations.
  • Support LLM- and AI-powered initiatives across business areas.
  • Assist with training, evaluating, and improving AI models and prompts.

Skills

Applied AI
LLMs
Web features

Education

Bachelor's/Master's in CS/Engineering

Tools

APIs
ML workflows

Job description

Spacial looking for a Software Engineering Intern to join Spacial to work out of our Palo Alto office. 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 D
  • oBuild, test, and ship features on the Spacial websit
  • eHelp design and improve internal tools and workflow automations that increase speed and efficiency across team
  • sSupport 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 system
  • sAssist with training, evaluating, and improving AI models and prompts for practical business use case
  • sCollaborate with engineering, product, operations, and leadership on cross-functional project
  • sPrototype new tools and systems that help automate manual work and improve team productivit
  • ySupport debugging, QA, and deployment of new features and internal system
  • sContribute to the technical implementation of experiments that improve how the company operates and serves customer
Example Projec
  • tsBuilding new user-facing features and improvements for the Spacial websi
  • teCreating internal dashboards, scripts, or lightweight tools to streamline team workflo
  • wsSupporting LLM-based workflows for research, operations, customer support, or go-to-market effor
  • tsImproving data pipelines or processes that help teams work more efficient
  • lyExperimenting with AI tooling to reduce manual tasks and support faster decision-maki
  • ngAssisting with backend integrations and automation across internal syste
  • msQualificatio
Qualificati
  • onsCurrently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fi
  • iptInterest in AI, LLMs, and practical software developm
  • entComfortable working in a fast-paced startup environm
  • entStrong problem-solving skills and attention to det
  • ailInterested in gaining exposure to the many functions involved in building and running a star
Nice to
  • HaveExperience building web applicat
  • ionsExposure to backend development and
  • APIsExperience with machine learning tools or AI model workf
What You’ll
  • GainHands-on experience building real-world software fea
  • turesExposure to applied AI and LLM-based work
  • flowsOpportunity to work closely with a startup team and contribute to meaningful pro
  • jectsMentorship from experienced engineers and oper
Location & Du
  • ration10–12 weeks minimum comm
  • itmentMust be able to commute to our office in Palo Al
About the C

ompany:Spacial is an AI-powered engineering platform transforming residential construction by delivering fast, accurate structural plans. Our platform converts 2D architectural drawings into 3D, code-compliant construction documents with built-in design conflict detection, architectural detailing, and local code validation. Every plan is carefully reviewed and approved by licensed engineers before being stamped. Trusted by architects, builders, and developers, Spacial helps reduce delays, lower costs, and streamline the construction process. With more than 140 active projects across the U.S., and as a fast-growing seed-stage company backed by a $10 million raise, Spacial is redefining how residential projects get

built.

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