C++ Network Engineer — Ultra-Low-Latency AI Clusters

SpaceXSI; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical coverage

Dental coverage

Vision coverage

401(k)

Disability insurance

Life Insurance

Employee discounts

Job summary

SpaceXSI is seeking a Software Engineer for the Colossus Networking team to design and implement core networking software for a massive AI datacenter. You will help maximize performance and reliability across hundreds of thousands of GPUs, contributing to training efficiency and model convergence.

Responsibilities include developing routing and traffic-engineering algorithms, building real-time software for switches, participating in architecture and code reviews, and deploying updates through

Qualifications

• Bachelor's degree in computer science, engineering, math, or a related technical discipline; OR 2+ years of professional software development experience in lieu of a degree.
• Strong development experience in C or C++.
• Experience with large-scale datacenter fabrics and networking protocols is a plus.

Responsibilities

• Develop routing and traffic-engineering algorithms for the Colossus high-performance datacenter network.
• Develop highly reliable, real-time software designed to run on the switches that form the backbone of our low-latency, high-bandwidth AI training fabric.
• Participate in and lead architecture, design, and code reviews.
• Develop prototypes and run experiments to validate key design decisions at both small and full-cluster scale.
• Build tools for software development, deployment, data analysis, visualization, and testing across virtualized environments, hardware-in-the-loop setups, and live production clusters.
• Deploy reliable software updates through CI and release systems with rigorous testing and monitoring.

Skills

C/C++

Education

Bachelor's degree or 2+ years experience in lieu of degree

Job description

SpaceXSI is seeking a Software Engineer for the Colossus Networking team to design and implement core networking software for a massive AI datacenter. You will help maximize performance and reliability across hundreds of thousands of GPUs, contributing to training efficiency and model convergence.

Responsibilities include developing routing and traffic-engineering algorithms, building real-time software for switches, participating in architecture and code reviews, and deploying updates through