AI Software Engineer

At Relativity Space, we’re building rockets to serve today’s needs and tomorrow’s breakthroughs. Our Terran R vehicle will deliver customer payloads to orbit, meeting the growing demand for launch capacity. But that’s just the start. Achieving commercial success with Terran R will unlock new opportunities to advance science, exploration, and innovation, pioneering progress that reaches beyond the known.Joining Relativity means becoming part of something where autonomy, ownership, and impact exist at every level. Here, you're not just executing tasks; you're solving problems that haven’t been solved before, helping develop a rocket, a factory, and a business from the ground up. Whether you’re in propulsion, manufacturing, software, avionics, or a corporate function, you’ll collaborate across teams, shape decisions, and see your work come to life in record time. Relativity is a place where creativity and technical rigor go hand in hand, and your voice will help define the stories we’re writing together. Now is a unique moment in time where it’s early enough to leave your mark on the product, the process, and the culture, but far enough along that Terran R is tangible and picking up momentum. The most meaningful work of your career is waiting. Join us.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 codeHands-on experience building with large language models, whether through coursework, projects, or self-directed workProficient in at least one language you love, and eager to learn new onesCurious, fast-learning, and motivated to work directly with engineers and operators on the factory floorNice to haves but not required: 1+ years of professional experience, including internships, research, or substantial personal and academic projects you have shippedExperience building agents, retrieval-augmented generation, or LLM evaluation pipelinesFamiliarity with data engineering tools and modern data stacksExposure to manufacturing, hardware, robotics, or other physical-world domainsContributions to open-source projects or published researchHiring 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.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:$115,000—$173,000 USDWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.If you need a reasonable accommodation, please contact us at View email address on job-api.jobget.com note: Relativity Space does not accept unsolicited resumes, candidate profiles, or referrals from recruitment agencies or search firms. Any unsolicited submission - via email, our website, social media, or directly to an employee - will be deemed the property of Relativity Space, and no fee will be owed absent a current, fully executed agreement with Talent Acquisition that specifically authorizes submissions for the applicable role.