Network Engineer - ML Infrastructure (High-Speed Interconnects)

Highlights

• Design network fabric powering large-scale AI training and inference clusters.
• Build connectivity solutions for AI clusters at 100k+ GPU scale.
• Explore next-gen interconnects to improve network economics and reliability.

What they offer

• equity
• medical coverage
• vision coverage
• dental coverage
• 401(k) retirement plan
• short-term disability insurance
• long-term disability insurance
• life insurance

Ideal candidate

Hands-on engineer with deep interconnect experience who thrives in fast-paced, ambiguous environments. Curious, driven problem-solver excited to bridge physics and large-scale AI systems for impact.

Requirements

• At least 8+ years of hands-on experience in designing, deploying and operating high-speed copper and optical interconnects
• 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
• 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