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We are seeking highly motivated and skilled Supercomputing Engineers (Network) to join our team. This team plays a critical role in developing, qualifying, and optimizing high-performance networking solutions for large-scale inference workloads. As a Pod Software Engineer, you will focus on developing and qualifying software that drives communication amongst Sohu inference nodes in multi-rack inference clusters. You will collaborate closely with kernel, platform, and telemetry teams to push the boundaries of peer-to-peer RDMA efficiency.
Job Responsibility:
Design, develop, and implement RDMA based networking peering, supporting high bandwidth, low latency communication across PCIe nodes within and across racks
Develop tests that qualify host processors (x86), NICs, TORs and device network interfaces for high performance
Furnish burn-in teams with tests that represent both real-world use cases and workloads for device to device networking, and extreme-load stress testing
Define the key metrics that system software must collect to maintain high availability and performance under extreme communications workloads
Requirements:
Proficiency in C/C++
Proficiency in at least one scripting language (e.g., Python, Bash, Go)
Strong experience with device-to-device networking technologies (RDMA, GPUDirect, etc.), including RoCE
Experience with zero-copy networking, RDMA verbs and memory registration
Familiarity with queue pairs, completions queues, and transport types
Strong understanding of operating systems (Linux preferred) and server hardware architectures
Ability to analyze complex technical problems and provide effective solutions
Excellent communication and collaboration skills
Ability to work independently and as part of a team
Experience with version control systems (e.g., Git)
Experience with reading and interpreting hardware logs
Nice to have:
Experience with networking technologies like NVLink, Infiniband, ML Pod interconnects
Experience with widely deployed Top of Rack Switches (Cisco, Juniper, Arista, etc.)
Knowledge of server virtualization
Experience with tracing tools like perf, eBPF, ftrace, etc.
Experience with performance testing and benchmarking tools (gProf, vTune, Wireshark, etc.)
Familiarity with hardware diagnostic tools and techniques
Experience with containerization technologies (e.g., Docker, Kubernetes)
Experience with CI/CD pipelines
Experience with Rust
What we offer:
Medical, dental, and vision packages with generous premium coverage
$500 per month credit for waiving medical benefits
Housing subsidy of $2k per month for those living within walking distance of the office
Relocation support for those moving to San Jose (Santana Row)
Various wellness benefits covering fitness, mental health, and more