Relativity Space
Space
StaffGPUSystemsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff GPU Systems Engineer at Relativity Space. Skills: GPU Systems Engineering, AI/ML Inference, Performance Optimization, Linux Systems Administration. Own GPU compute environment. Setup driver integration”
What You'll Achieve.
Enable onboard AI/ML inference; Enable SAR reprocessing; Squeeze maximum science return; Sustain 10 Gbps data movement; Ensure platform reliably runs ML frameworks
Industry & Context.
Solving problems that haven’t been solved before; Diagnosed I/O bottlenecks; Tuned memory management; Understood workload throughput issues; GPU fault detection; Automated recovery
What They're Looking For.
Must Have
BS/MS in Computer Science or Electrical Engineering, 5+ years of relevant experience, Hands-on experience with GPU programming and compute frameworks, Linux systems administration and performance tuning skills, Experience with container technologies, HPC job scheduling concepts, Working proficiency in Python, C/C++ skills
Nice to Have
Experience with HPC cluster administration, ML infrastructure experience, Cloud GPU compute platforms at scale experience, Deep familiarity with ML framework runtime requirements, Knowledge of GPU compute architectures at the hardware level, Experience with high-throughput data movement and storage I/O optimization, Background in power-managed computing, Experience designing checkpoint/restart or fault-tolerant batch processing systems
What You'll Do.
Own GPU compute environment
Setup driver integration
Manage container runtime
Optimize compute performance
Build power/thermal-aware scheduling
Develop compute health monitoring
Integrate GPU drivers
Maintain SAR processing pipelines
How You'll Work.
Team & Collaboration
Collaborate across teams; Coordinate with storage platform; Coordinate with Platform RE; Work with operations team
Full Job Description
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 GPU comp
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