Lead Software Engineer, Relativity Space

• 6+ years of professional software development experience with a mastery of Python and modern asynchronous frameworks like FastAPI, utilizing Pydantic or JSON Schema for rigorous data modeling
• Expertise in relational database design, including a proven ability to manage complex schemas and model intricate dependencies without sacrificing performance
• A track record of building mission-critical RESTful APIs that serve as a high-integrity, scalable source of truth for diverse consumers
• 1+ years of experience leading or mentoring engineering teams, including managing sprints and conducting high-standard design and code reviews
• Experience thriving in high-velocity environments where data changes rapidly, maintaining composure and data integrity even under the pressure of tight mission deadlines

Desirable

• The Vehicle Software team develops the safety-critical software that runs on Terran R. The work spans a distributed, real-time control system operating under extreme conditions like Mach 5 atmospheric flight, with a deployment pace that allows you to see your code run on rocket engines daily
• The team is building new system architecture from the ground up and just as importantly, testing, releasing, and deploying it. You don’t need an aerospace background: what matters is experience with high-reliability software for complex systems
• This is a rare opportunity to shape the foundation of Terran R’s software stack while directly influencing performance, reliability, and flight success
• As the Lead Engineer for our vehicle configuration system, you will be the primary architect and steward of the data that defines our flight hardware
• You will lead a high-impact team to aggregate disparate data streams from across the company into a single, high-integrity relational source of truth. Your work ensures that every department—from propulsion to avionics—is operating from the same validated configuration
• Work with engineering and operations teams across the company to understand the structure of their configuration data and how it integrates into the vehicle. You will become a subject matter expert in how manufacturing, propulsion, avionics, GNC, and networking data enables Terran R to fly
• Build and optimize pipelines to ingest, clean, and normalize complex configuration data from multiple departmental silos
• Lead the development of high-performance REST APIs using Python and FastAPI to expose this data to the rest of the organization
• Guide the development of lightweight web interfaces and Jamstack frontends that allow non-technical stakeholders to explore and audit data
• Partner with test and systems engineering teams to rapidly generate updated configurations for validation and deployment. Change is the only constant; configurations will evolve right up to the hours before launch