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)
- 3 to 5 years of experience building, shipping, and iterating on applications and services
- Practical experience building AI features with large language models, such as agents, retrieval-augmented generation, tool use, or evaluation, and shipping them to real users
- Hands-on experience building with large language models, whether through coursework, projects, or self-directed work
- Experience designing in collaboration with non-software stakeholders
- Proficient in the languages and tools you love most, and willing to learn new ones
Nice to haves but not required: - Experience designing and scaling AI or service architectures that support high-performance, user-facing applications
- Experience building evaluation and observability systems that keep AI reliable in production
- Background in data engineering, applied machine learning, or building and maintaining knowledge bases and ontologies
- Experience turning research into working prototypes and reading current AI literature to inform design choices
- Experience developing, debugging, and shipping software products on large code bases that span platforms and tools
- Exposure to manufacturing, hardware, robotics, or other physical-world domains
At Relativity Space, we are committed to transparency and fairness in our compensation practices. Actual compensation will be determined based on experience, qualifications, and other job-related factors.
Compensation is only one part of our total rewards package. Relativity Space offers competitive salary and equity, a generous PTO and sick leave policy, parental leave, an annual learning and development stipend, and more! To see some of the benefits & perks we offer, please visit here.
Hiring Range:
$130,000-$196,000 USD
