Develop and optimize high-performance software for AI datacenter networking, implementing NOS enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.
Key Responsibilities
Implement network operating system features for AI-optimized switching scenarios
Integrate smart NIC solutions for end-to-end AI-optimized networking
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation.
Requirements:
Required Qualifications:
BSc degree in Computer Science or Engineering
5+ years of software development experience in networking or systems programming
Strong proficiency in C/C++ and Python programming
Understanding of networking protocols and packet processing optimization
Preferred Qualifications
Experience with SONiC development, SAI implementation, or switch software
Knowledge of Linux kernel networking
Experience with smart NIC programming interfaces and SDK development
Familiarity with DPDK, RDMA, and high-performance networking libraries
Experience with AI/ML framework networking integration.
Required Qualifications:
BSc degree in Computer Science or Engineering
5+ years of software development experience in networking or systems programming
Strong proficiency in C/C++ and Python programming
Understanding of networking protocols and packet processing optimization
Preferred Qualifications
Experience with SONiC development, SAI implementation, or switch software
Knowledge of Linux kernel networking
Experience with smart NIC programming interfaces and SDK development
Familiarity with DPDK, RDMA, and high-performance networking libraries
Experience with AI/ML framework networking integration.
This position is open to all candidates.
