Job Description
Full job description
The Consulting Member of Technical Staff (CMTS) is a hands-on technical leader responsible for architecting, prototyping, and delivering advanced networking mechanisms that underpin large-scale AI systems. This role focuses on deep technical execution—designing and implementing production-quality features across SmartNICs, programmable switches, and end-host networking stacks, with a focus on real-world deployment, performance, and robustness.
Key Responsibilities:
Data Plane & Offload Development:
Design and implement multi-path-aware routing algorithms for execution on SmartNICs and switches.
Develop high-performance data plane logic using low-level systems programming and hardware SDKs for routing, load-balancing, and real-time telemetry offloads.
Optimize packet processing pipelines for deterministic low-latency and high-throughput operation.
Congestion Control & Transport Algorithms:
Implement congestion control mechanisms leveraging detailed network telemetry (queue depth, loss, latency, link health).
Build and optimize transport-level solutions that adaptively select paths and adjust rates in large-scale AI fabrics.
ML Collective & RDMA Systems:
Develop collective communication transports for ML workloads that maintain high performance through congestion, failures, and irregular topologies.
Implement and scale RDMA across multipath environments, ensuring correctness and adherence to ordering guarantees.
Extend RDMA-based architectures to storage and data services for enhanced efficiency and lower latency.
Validation & Performance Engineering:
Develop frameworks, simulators, and proofs-of-concept to validate functionality, scalability, and resilience.
Analyze and optimize performance across hardware (NIC/switch), kernel/firmware, and user-space boundaries.
Diagnose and resolve complex issues in distributed and low-level systems.
Required Qualifications:
10+ years of experience in systems, networking, or kernel-level engineering, with proven hands-on technical depth.
Expertise in RDMA, congestion control, transport protocols, and high-performance packet processing.
Strong implementation skills for complex, hardware-proximal algorithms with a focus on correctness and performance.
Proficiency in debugging cross-layer, distributed, and low-level technical challenges.
Preferred Qualifications:
Experience with large-scale AI training/inference infrastructure.
Familiarity with programmable networking pipelines and hardware SDKs.
Track record of delivering complex, production-quality networking features at scale.
The Consulting Member of Technical Staff (CMTS) is a hands-on technical leader responsible for architecting, prototyping, and delivering advanced networking mechanisms that underpin large-scale AI systems. This role focuses on deep technical execution—designing and implementing production-quality features across SmartNICs, programmable switches, and end-host networking stacks, with a focus on real-world deployment, performance, and robustness.
Key Responsibilities:
Data Plane & Offload Development:
Design and implement multi-path-aware routing algorithms for execution on SmartNICs and switches.
Develop high-performance data plane logic using low-level systems programming and hardware SDKs for routing, load-balancing, and real-time telemetry offloads.
Optimize packet processing pipelines for deterministic low-latency and high-throughput operation.
Congestion Control & Transport Algorithms:
Implement congestion control mechanisms leveraging detailed network telemetry (queue depth, loss, latency, link health).
Build and optimize transport-level solutions that adaptively select paths and adjust rates in large-scale AI fabrics.
ML Collective & RDMA Systems:
Develop collective communication transports for ML workloads that maintain high performance through congestion, failures, and irregular topologies.
Implement and scale RDMA across multipath environments, ensuring correctness and adherence to ordering guarantees.
Extend RDMA-based architectures to storage and data services for enhanced efficiency and lower latency.
Validation & Performance Engineering:
Develop frameworks, simulators, and proofs-of-concept to validate functionality, scalability, and resilience.
Analyze and optimize performance across hardware (NIC/switch), kernel/firmware, and user-space boundaries.
Diagnose and resolve complex issues in distributed and low-level systems.
Required Qualifications:
10+ years of experience in systems, networking, or kernel-level engineering, with proven hands-on technical depth.
Expertise in RDMA, congestion control, transport protocols, and high-performance packet processing.
Strong implementation skills for complex, hardware-proximal algorithms with a focus on correctness and performance.
Proficiency in debugging cross-layer, distributed, and low-level technical challenges.
Preferred Qualifications:
Experience with large-scale AI training/inference infrastructure.
Familiarity with programmable networking pipelines and hardware SDKs.
Track record of delivering complex, production-quality networking features at scale.
💡 Quick Summary
Seeking a career-building opportunity? The Consulting Member of Technical Staff - AI Networking and RDMA position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
