SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. The role involves designing, building, and operating the Colossus datacenter network that powers AI models, developing core networking software to maximize performance and reliability, and tackling distributed systems, high‑performance networking, and real‑time control challenges.
Software Engineer - Network (C++) en xAI
Presencial - Palo Alto, CA; Seattle, WA
Más vacantes en 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/IPRDMAHigh‑performance networkingDistributed systemsDatacenter network fabricsVirtualized environmentsContinuous integrationRelease systemsReal‑time control
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