xAI is seeking a Software Engineer to join the Colossus Networking team, responsible for designing, building, and operating the core networking software that powers its massive GPU clusters and AI models. The role involves developing routing and traffic-engineering algorithms, creating reliable real-time software for network switches, leading architecture reviews, prototyping, and building tools for deployment and monitoring across virtualized and live production environments. The engineer will work on distributed systems, high-performance networking, and real-time control of large AI supercomputers.
Software Engineer - Network (C++) at xAI
On-site - Palo Alto, CA; Seattle, WA
More jobs at xAISalary
USD 180,000 - 440,000
Requirements
Skills
- 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++.
- Strong professional experience writing high-performance C/C++ in production environments.
- Experience developing, debugging, and deploying software that runs at scale in real-world systems.
- Deep knowledge of networking protocols (UDP, TCP/IP, RDMA, etc.), distributed systems, and large‑scale datacenter fabrics.
- Background in real-time systems, high-performance computing, low-latency networking, or resource-constrained environments.
- Creative problem-solving ability with exceptional analytical skills and strong engineering fundamentals.
- Excellent written and verbal communication skills.
- Ability to thrive in a fast‑paced, dynamic environment with evolving requirements.
- Experience with security considerations in large-scale distributed systems.
- Must be willing to work extended hours and weekends as needed.
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 continuous integration and release systems with rigorous testing and monitoring.
Technologies
CC++UDPTCP/IPRDMAdistributed systemshigh-performance computingreal-time systemslow-latency networkingresource-constrained environmentsdatacenter network
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