Staff Data 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:

Relativity Space pioneered large-scale additive manufacturing with our Terran 1 rocket, the largest 3D-printed object to fly. Now a distinct business unit within Relativity, Horizon Manufacturing Technologies is advancing next-generation manufacturing for aerospace and beyond. The team operates at the frontier of manufacturing innovation, where creativity meets capability. This is an environment where cutting-edge R&D is put into production, industrializing advanced manufacturing capabilities to solve customer problems. You'll work alongside welders, robotics engineers, data scientists, and systems engineers at the intersection of hardware and software, creating an end-to-end additive manufacturing platform that serves a wide variety of applications. From exploring new materials to unlocking faster print speeds, to designing complex, organic geometries that can't be built any other way, it's high-impact work that sets the foundation for the future of advanced manufacturing

About the Role:

As a part of our advanced additive manufacturing R&D team, you will take ownership of data architectures and pipelines for process, sensor, robotics, and other data that are produced during the operation of Relativity's proprietary 3D printing technology, with a critical emphasis on timeseries data. This includes developing database structures and schemas, working with communication protocols, and maintaining data collection, processing, and analysis pipelines. You'll need to work with cross-functional stakeholders to gather requirements and evaluate the existing data infrastructure, then use your judgement and expertise to identify where it makes sense to solidify existing approaches and where it makes sense to create new solutions. You must communicate planning, progress, risks, and blockers with other teams and leadership and be able to describe blockers and resource needs to a variety of stakeholders. You will be a close partner with the Machine Learning team, ensuring that data are ready to be read into model training pipelines and assisting with data solutions for model repositories and inference data.

About You:

• 7+ years experience in the field of data engineering, including time spent owning or leading data infrastructure projects
• Bachelor's degree in Computer Science, Engineering, or related field
• Strong programming skills in Python and SQL and familiarity with other programming languages
• Experience working in a Linux or Unix-based (CLI) development environment and deploying to cloud, local, or hybrid compute infrastructure
• Experience with message protocols for timeseries and telemetry data streaming
• Expertise in designing, querying, and maintaining relational and timeseries databases
• Experience building and maintaining scalable, resilient data pipelines (ETL) for machine learning workflows, including data validation, transformation, labeling, and versioning

Nice to haves but not required:

• Experience in the field of additive manufacturing
• Experience working with scientific timeseries data from systems such as high-frequency electronics, sensors, audio, video, or robotics
• Proficiency with univariate statistics

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:

$185,000-$236,500 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.

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