AI Software Engineer — Space Tech & Factory AI

Relativity Space; Long Beach (CA); On-site; USD 115,000 - 173,000; Full time

Benefits offered by this job

PTO and sick leave

Parental leave

Learning stipend

Equity

Job summary

Relativity Space in Long Beach, CA, is seeking engineers to build AI systems used by engineers and operators across the company. You will design, implement, and deploy AI-powered applications and agents that run on foundation models, with a focus on reliability and production readiness.

Join a small, high-ownership team that ships quickly, works directly with users, and treats reliability and evaluation as first-class parts of every AI product.

Qualifications

• Bachelor’s degree in Computer Science or related engineering field.
• Strong computer science foundations: data structures, algorithms, systems.
• Hands-on experience building with large language models.
• Proficient in at least one language you love, and eager to learn new ones.

Responsibilities

• Build AI-powered applications and agents on top of foundation models and make them reliable in production.
• Follow agile development practices and ship quality software that is continuously integrated and deployed.
• Define requirements, implement solutions, and iterate with users and stakeholder teams.
• Collaborate directly with design, materials, manufacturing, and test and launch teams to automate workflows across the product lifecycle.

Skills

Python

React

TypeScript

Go

LLM experience

Agile development

Education

Bachelor's degree in CS/Engineering

Tools

Spark

Iceberg

DuckDB

Redshift

DBT

Postgres

Mongo

AWS

Kubernetes

Terraform

Helm

Job description

Relativity Space in Long Beach, CA, is seeking engineers to build AI systems used by engineers and operators across the company. You will design, implement, and deploy AI-powered applications and agents that run on foundation models, with a focus on reliability and production readiness.

Join a small, high-ownership team that ships quickly, works directly with users, and treats reliability and evaluation as first-class parts of every AI product.