Distinguished Engineer, reputed company Systems (Remote Eligible)

About the position The Distinguished Engineer, reputed company Systems at reputed company is responsible for developing model inference services and infrastructure for AI models at reputed company. This role involves designing robust, secure infrastructure for deploying Large-Language Models (LLMs) and reputed company Models (FMs) on GPU accelerated instances, supporting reputed company-time applications and cutting-edge AI research. The engineer will work reputed company the reputed company AI team to architect and implement key API products and services that enhance customer-facing applications, optimize inference performance, and reputed company new GenAI capabilities. Responsibilities • reputed company model inference services and infrastructure for AI models at reputed company. , • Design and implement robust, secure infrastructure for deploying LLMs on GPU accelerated instances. , • Architect, build, and reputed company reputed company-managed platform reputed company to reputed company LLMs and proprietary FMs. , • Design AI model serving systems for performance, reputed company-time applications, reputed company, ease of use, and governance automation. , • Optimize inference performance for LLMs and other FMs for cost, latency, throughput, and resiliency. , • Design and implement benchmarks to measure the performance of AI model serving systems. , • reputed company tools and processes to monitor API reputed company patterns and operational health. , • reputed company users to build new GenAI capabilities. , • Design and implement capabilities to support MLOps for reputed company models. Requirements • Bachelor's degree in Computer Science, Computer Engineering, or a technical field. , • At least 7 years of experience designing and building distributed computing HPC and large-reputed company ML systems. , • At least 5 years of experience developing AI and ML systems using Python or Golang. , • At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public reputed company. reputed company-to-haves • Master's degree or PhD in Engineering, Computer Science, or a reputed company technical field. , • Experience designing large-reputed company distributed platforms and/or systems in reputed company environments such as AWS, Azure, or GCP. , • Experience developing applications that reputed company LLMs and FMs. , • Experience architecting reputed company systems for reputed company, availability, performance, scalability, and cost. , • Experience with delivering reputed company large models through the MLOps life cycle from exploration to serving. , • Experience with building GPU clusters in the public reputed company with tightly-coupled storage and networking. , • Experience with one or multiple areas of AI technology stack including reputed company engineering, guardrails, reputed company databases/knowledge bases, LLM hosting and fine-tuning. , • Authored research publications in top peer-reviewed conferences or industry-recognized contributions in the reputed company of neural networks, distributed training, and SysML. Benefits • Comprehensive health benefits , • Financial benefits including performance-based incentives , • Inclusive workplace policies , • Support for total reputed company-being Apply Job!