Network Engineer, High-Speed Interconnects (ML Infrastructure)
What the posting says
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.
NETWORK ENGINEER, HIGH-SPEED INTERCONNECTS (ML INFRASTRUCTURE)
SpaceXSI 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.
You will have the opportunity to work on all modalities of interconnects connecting GPUs and switches both inside and between data centers, including our primary front and backend networks that train Grok and that customers use for inference. Engineers will own all aspects from design and development to build and operations. You will be expected to define and improve team processes and to contribute to scaling and maintenance efforts.
You will focus on the physical layer and system-level integration of copper (ACC, AEC, CPC) and optical (FRO, LRO/TRO, LPO, AOC, CPO) interconnects that directly determine the performance, power efficiency, scale, and cost of next-generation AI/ML clusters. This is a highly technical, hands-on role bridging ML cluster requirements with cutting-edge interconnect hardware — ideal for engineers who love both large-scale AI systems and the physics/engineering of 200G+ SerDes, PAM4, photonics, signal integrity and diagnostics.
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
Evaluate and pathfind 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)
BASIC QUALIFICATIONS:
8+ years of experience in designing, deploying and operating high-speed copper, and optical interconnects
Master’s degree or Ph.D. in electrical engineering, photonics, or physics
PREFERRED SKILLS AND EXPERIENCE:
Experience in a module design role or in a hyperscale datacenter environment
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
COMPENSATION AND BENEFITS:
$180,000 - $440,000 USD
Base salary is just one part of our total rewards package at SpaceXSI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.
SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.
Quality
- x Salary range stated weight 35%
- x Remote policy stated weight 20%
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Based on 21 observation(s).
- ! Days open - concerningOpen for 70 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
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SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our...->SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where...
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