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.
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 USD
We 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 accommodations@relativityspace.com.
Please 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.
