SpaceXAI is building at a furious pace with the latest compute and switching hardware to help people understand the universe. We are looking for exceptional ML Infrastructure Engineers with deep expertise in high‑speed interconnect technologies to design, build, and optimize the network fabric that powers large‑scale AI training and inference clusters. This strategic role will drive innovation in high‑bandwidth, low‑latency, power‑efficient interconnects critical for AI/ML clusters based on advanced computing platforms.
Network Engineer - ML Infrastructure (High-Speed Interconnects) na SpaceXAI
Presencial - Palo Alto, CA
Ver mais vagas na SpaceXAISalary
USD 180,000 - 440,000
Requirements
Skills
- At least 8+ years of hands‑on experience in designing, deploying and operating high-speed copper and optical interconnects, preferably in a module design role or in a hyperscale datacenter environment.
- Master's or PhD degree in Electrical Engineering, Photonics or Physics.
- Deep knowledge of PAM4 SerDes performance, equalization, jitter, crosstalk.
- Solid operational understanding of FEC, Retimers, TIAs and Drivers.
- Deep knowledge of optical link budget analysis and performance metrics including TDECQ, OMA, Tcode, stressed receiver sensitivity and associated diagnostics.
- Expertise in transceiver components including CW lasers, SiPh PICs, EML, DSP, passive subassemblies, their failure modes and characterization.
- Knowledge of thermal, mechanical, power, signal integrity constraints in dense hardware.
- Knowledge of SiPh design process, yield improvement and reliability testing.
- Familiarity with CPO technologies and challenges/risk areas.
- Familiarity with subcomponent supply chains and global manufacturers, ODMs and CMs.
- Strong problem‑solving skills and ability to thrive in a fast‑paced, ambiguous setting.
Responsibilities
- Design, validate, and productize high-speed copper and optical connectivity solutions for AI clusters (100k+ GPU scale).
- Own vendor due diligence and onboarding for new 1.6T products including AEC and pluggable optical transceivers (DR4/8, FR4) including rigorous bring‑up & characterization.
- Investigate the opportunity for LPO and LRO in our network.
- Evaluate early co‑packaged and near‑packaged engines for switches and GPUs.
- Pathfinding for new interconnect modalities including VCSEL, microLED, THz radio‑based solutions to improve network economics and reliability.
- Work closely with vendors (transceiver, cable, SerDes, DSP, silicon photonics foundries) to influence roadmaps and ensure timely delivery of next‑gen solutions.
- Collaborate with ML training teams to translate workload communication patterns into concrete interconnect topology and optical reconfigurability requirements.
- Perform system‑level simulation of end‑to‑end fabric performance.
- Drive failure analysis, root cause, and corrective actions for interconnect‑related issues in production clusters through fleet‑level metrics gathering and analysis.
- Contribute to internal tooling and automation for interconnect health monitoring, telemetry, diagnostics, remediation and automated qualification pipelines.
- Stay current with industry standards (OIF CMIS, IEEE) and emerging technologies (multi‑core/hollow‑core fiber, 448G SerDes, TFLN, ring resonators).
Technologies
High-speed copper interconnectOptical interconnectSerDesPAM4PhotonicsSignal integrityDiagnosticsTransceiversDSPSilicon photonicsVCSELMicroLEDTHz radioOIF CMISIEEE standardsFiber optics448G SerDesTFLNRing resonatorsAI/ML clusters
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