Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
CUDA
Communication @ 6
Debugging @ 4
GPU
Git @ 4
Jira @ 4
Networking @ 3
Project Management @ 4
Python @ 7
Security @ 3
System Architecture @ 7
Technical Leadership
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Space-1 Orbital Data Center System Software Architecture
Space-1 is NVIDIA's first Orbital Data Center (ODC) module—a Vera Rubin–class compute platform engineered for low-Earth orbit mission. It is the first step in a multi-generation orbital roadmap to speed up AI adoption. We are looking for a strong technical architect to own end-to-end system software architecture for Space-1 and successor orbital platforms.
You will architect the full stack—from application to libraries, from data center stack to BMC and BIOS firmware, manageability and telemetry through the host OS, GPU and CPU drivers, and CUDA—to deliver a production-ready inference platform that operates reliably in the radiation, thermal-cycling, and remote-operations environment of LEO.
Responsibilities
- Own system architecture for the inference stack and other applications running on this class of products, making it resilient to any fault happening in space.
- Co-architect with the orbital hardware system architecture team to define interfaces, partitioning, and trade-offs across silicon, board, firmware, OS, and AI workload layers for 5-year LEO missions.
- Own end-to-end system software architecture for Space-1 and successor ODC modules—covering data center stack, BMC firmware, BIOS, host OS, GPU/CPU drivers, CUDA, DCGM, and manageability telemetry as a single integrated stack.
- Define manageability architecture for an unreachable, autonomous data center: remote bring-up, in-orbit firmware update, dual-module redundancy, fault containment, recovery from SEU/SEFI events, and telemetry for fleets ranging from tens to millions of nodes.
- Architect rad-tolerant system software behaviors—ECC handling, memory scrubbing, latch-up mitigation, deterministic recovery, and graceful degradation through 5 years and up to ~8,000 thermal cycles in dawn–dusk sun-synchronous orbit.
- Drive Redfish, MCTP, PLDM, and constellation-level management protocols across BMC, BIOS, and host software so customers can operate orbital fleets with the same tools they use on the ground.
- Define minimum BMC feature set, pin budget, boot architecture (rugged M.2 / VPX-class options), and dual-module redundancy strategy in partnership with platform and mechanical engineering.
- Partner with cloud and constellation customers (SpaceX, Blue Origin, Starcloud, Planet, Cowboy Space, and others) to translate mission requirements—orbit, duty cycle, NSA PHIPs security, post-quantum networking (CX9), inference SLAs—into actionable platform software architecture.
- Drive reliability and optimization in the system software architecture from an orbital data center viewpoint, including correct operation through eclipse periods and idle-power retention strategies.
- Work closely with the bring-up team and resolve issues at Speed of Light from first silicon through first launch.
- Own quality, reliability, and telemetry performance of the system software delivered with each ODC module shipped to customers.
Requirements
- 15+ years of relevant experience in server/platform system software—spanning compute libraries, BMC firmware, BIOS, host OS, drivers, and manageability.
- BS, MS, or PhD in EE/CS or related field of education (or equivalent experience).
- Working experience in building AI infrastructure and systems in space, with a proven record of architecting and delivering platform software for large-scale data centers or mission-critical embedded systems.
- Strong knowledge of server architecture, data center manageability, and full-stack integration of firmware with OS and accelerator software, including hands-on experience with data center health management workflows, telemetry, and fault management at scale.
- Solid understanding of hardware management interfaces (USB, SMBus/I2C, PCIe) and proficiency with modern management protocols including Redfish, MCTP, and PLDM.
- Strong and demonstrable skill in C/C++ and Python.
- Experience programming and debugging server platforms, including pre-silicon and platform bring-up environments.
- Experience in SCM (e.g. Git, Perforce) and project management tools like Jira.
- Excellent written and oral communication skills, good work ethics, high sense of teamwork, love to produce quality work, and commitment to finish your tasks every single day.
- Self-starter who loves to find creative solutions to complicated problems and is hands on with coding.
Ways to stand out from the crowd
- Experience architecting platform software for space/aerospace/defense (or other radiation-, thermal-, and vibration-constrained environments), including SEU/SEFI mitigation, ECC strategy, TID/SEE qualification, and rad-hard design partitioning.
- Hands-on experience with autonomous, remote, or unreachable data center operations—such as in-orbit or in-field firmware update, dual-module redundancy, and recovery without physical access.
- Hands-on with x86 or ARM (Grace/Vera) system architecture and the NVIDIA AI software stack (CUDA, DCGM, DOCA/OFED, GPU drivers, DGX OS).
- Familiarity with NSA PHIPs security, post-quantum networking, and aerospace standards (VPX, MIL-STD shock/vibe, NASA EEE-INST-002).
- Proven technical leadership driving large complex programs with 50+ engineers across firmware, OS, driver, and AI stack teams.
- Skilled in reviewing hardware schematics and PCB layouts for debugging, design verification, and collaboration with hardware engineers.
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