AI Software Engineer

About the Team: 

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end-user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

The AI, Data and Platform Engineering team leads Relativity's initiative to make AI a core part of how we design, build, and test rocket hardware. We build the applications, agents, data foundations, and platform that put AI in the hands of engineers and operators across the company. We are 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.

About the Role:

You will help build AI systems used by engineers and operators across the company, working across the full software development life cycle: concept, design, implementation, and ongoing iteration. 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. Solve complex problems with simple solutions. Work directly with users and stakeholder teams to define requirements, implement solutions, and iterate. Technologies we use: Python, React, TypeScript, Go. Foundation models (Claude and others), agent and orchestration frameworks, retrieval and vector search, LLM evaluation tooling. Spark, Iceberg, DuckDB, Redshift, DBT, Postgres, Mongo. AWS, Kubernetes (cloud and on-prem), Terraform, Helm.

About You:

• Bachelor's degree or higher in Computer Science or a related engineering field (Computer, Software, Electrical, Aerospace).
• Strong computer science foundations: data structures, algorithms, systems, and clean, testable code
• Hands-on experience building with large language models, whether through coursework, projects, or self-directed work
• Proficient in at least one language you love, and eager to learn new ones
• Curious, fast-learning, and motivated to work directly with engineers and operators on the factory floor

Nice to haves but not required: 

• 1+ years of professional experience, including internships, research, or substantial personal and academic projects you have shipped
• Experience building agents, retrieval-augmented generation, or LLM evaluation pipelines
• Familiarity with data engineering tools and modern data stacks
• Exposure to manufacturing, hardware, robotics, or other physical-world domains
• Contributions to open-source projects or published research

Hiring Timeline:

We are actively hiring for immediate openings. Candidates should have completed their degree requirements and be available to begin full-time employment within 30–60 days of applying. If your availability falls outside this window, we encourage you to return and apply when you are within 30–60 days of being available to start full-time employment.