Build Kubernetes orchestration, GPU provisioning, and scheduling systems for a multi-tenant AI infrastructure cloud platform. Help operate reliable GPU compute across large-scale data centers.
Lead distributed GPU training infrastructure for large-scale AI models on a next-generation cloud platform. Improve reliability, efficiency, fault tolerance, and production readiness across training systems.
Lead the development of distributed GPU training infrastructure for large AI models. Improve reliability, efficiency, fault tolerance, and production training operations at scale.
Optimize GPU kernels, utilization, latency, and throughput for a next-generation AI cloud platform. Improve performance across large-scale training and inference infrastructure.
Senior engineer responsible for Kubernetes orchestration and virtualization supporting GPU-intensive AI and HPC workloads. Builds secure, scalable, multi-tenant infrastructure for an AI cloud platform.
Lead GPU kernel optimization for an AI infrastructure cloud platform, improving utilization, latency, throughput, and scalability. Work across training and inference workloads to strengthen performance across the GPU fleet.
Lead the development of production model-serving systems for an AI infrastructure company. Improve GPU utilization, latency, throughput, scalability, and reliability across large-scale AI workloads.
संयुक्त राज्य
वॉशिंगटनहाइब्रिडपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीएआई अनुसंधान वैज्ञानिकमशीन लर्निंग इंजीनियरएआई इन्फ्रास्ट्रक्चर, इन्फरेंस सिस्टम और एक्सेलरेटर रणनीति पर अनुप्रयुक्त शोध का नेतृत्व करें। स्केलेबल एआई वर्कलोड के लिए इंजीनियरिंग, उत्पाद, वित्त और वाणिज्यिक निर्णयों को दिशा दें।
