Terran R rocket render
Relativity Space Logo

Relativity Space

Staff Software Engineer, Interplanetary Networking

Posted 48 Minutes Ago
Be an Early Applicant
Easy Apply
In-Office
Long Beach, CA
181K-249K Annually
Senior level
Easy Apply
In-Office
Long Beach, CA
181K-249K Annually
Senior level
The role requires owning the Delay Tolerant Networking implementation for a space-based data center, including designing and optimizing network protocols and routing logic for interplanetary communication.
The summary above was generated by AI

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 Interplanetary Sciences Program was established to expand access to scientific exploration across our solar system. Its mission is to make planetary research faster, more affordable, and more capable than ever before by rethinking how science missions are designed, built, and operated. The program aims to enable scientists to send instruments to distant worlds without decades of development or prohibitive costs. By creating a sustainable model for interplanetary exploration, we are transforming space science from an occasional event into a continuous process of discovery that accelerates knowledge, broadens participation, and inspires the next generation of explorers. 

About the Role:

  • Own the Delay Tolerant Networking (DTN) and Bundle Protocol implementation for a space-based data center, making interplanetary internet real and operational — designing, building, and validating the primary data transfer pathway that moves science data from instruments through onboard processing and out over deep-space communication links
  • Design and implement the full Bundle Protocol stack — custody transfer, fragmentation, and assured delivery — with the rigor that comes from knowing a protocol bug over a Mars link means data that may never be recovered
  • Build DTN routing logic integrated with the payload scheduler, orchestrating data movement across science collection windows, downlink passes, and UHF relay contacts, enabling semi-autonomous scheduling and routing across all onboard sources and communication links
  • Own the payload network stack from OSI layers 4 through 7, including network management and monitoring software, providing end-to-end data flow validation from instrument acquisition through NAS storage, onboard processing, and downlink
  • Integrate with partner DTN development groups and the broader deep-space networking community, bridging open-source DTN implementations with mission-specific requirements and operational constraints

About You:

  • MS + 5 years or PhD + 3 years in networking, distributed systems, or a related field, with 8+ years of total software experience
  • Deep experience with network protocol design and implementation — you've built or substantially modified protocol stacks, not just configured them
  • Strong systems programming skills in C and/or Rust, with experience writing concurrent and distributed systems software
  • Solid understanding of Linux networking internals and protocol state machine design, with attention to formal correctness
  • Demonstrated ability to analyze and optimize network performance — throughput, latency, and reliability under constrained conditions

Nice to haves but not required:  

  • Direct experience with Delay Tolerant Networking, Bundle Protocol (RFC 9171), or store-and-forward networking over disruption-tolerant links
  • Familiarity with open-source DTN implementations such as ION, HDTN, or µD3TN
  • Experience with contact graph routing or other DTN routing algorithms
  • Knowledge of CCSDS networking standards and deep-space communication link characteristics — light-time delay, intermittent contacts, eclipse periods
  • Background in embedded or constrained-environment software architecture where resources and link availability cannot be taken for granted
  • Experience with simulation-based testing of network protocols under disruption, delay, and loss conditions

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:
$181,000$248,500 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 [email protected].


Similar Jobs at Relativity Space

48 Minutes Ago
Easy Apply
In-Office
Easy Apply
181K-249K Annually
Senior level
181K-249K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
The role involves managing GPU compute environments for a space data center, focusing on performance optimization, scheduling, and recovery mechanisms for AI/ML processes in space.
Top Skills: C/C++CudaDockerOpenclPodmanPythonRocm
48 Minutes Ago
Easy Apply
In-Office
Easy Apply
181K-249K Annually
Senior level
181K-249K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
As a Staff Software Platform Responsible Engineer, you'll manage Linux images for spacecraft hardware, develop board support packages, and ensure system reliability against hardware upsets.
Top Skills: ArmCCi/CdJtagLinuxOpenembeddedX86Yocto Project
48 Minutes Ago
Easy Apply
In-Office
Easy Apply
181K-249K Annually
Senior level
181K-249K Annually
Senior level
Aerospace • Hardware • Robotics • Software • Manufacturing
The role focuses on developing software for optical terminal processors, including device drivers and communication subsystems, while debugging and performing fault recovery for integration issues with hardware.
Top Skills: CFpgaLinuxOsi Layer 2-3Packet Handling

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account