…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…

…Design, train, and deploy machine learning models for Optical Systems applications Build and maintain ML pipelines for data ingestion, feature engineering, training, and inference…

…differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product…

…AI infrastructure system, and SambaStack, our inference serving platform. Together, they enable customers to deploy and operate production AI environments with performance, reliability, and…

…AI infrastructure system, and SambaStack, our inference serving platform. Together, they enable customers to deploy and operate production AI environments with performance, reliability, and…

…AI infrastructure system, and SambaStack, our inference serving platform. Together, they enable customers to deploy and operate production AI environments with performance, reliability, and…

…systems for new AI inference challenges Drive engineering excellence and software quality across the platform Basic qualifications 8-12 years of software engineering experience…

…growing and maintaining high-performing teams A strong data science foundation of your own, including experience applying causal inference methods, whether experimental or observational…

…Define and track metrics for customer impact, platform performance, operational health, and business outcomes. Partner with engineering teams to prioritize investments that improve reliability…

…Demonstrates ability to perform basic chemistry math and calculations. Adept with data acquisition and analysis tools including Laboratory Information Management Systems and Microsoft Office…

…distributed training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus. Familiarity with search, recommendation systems, conversational engines, or related domains. Strong…

…In this role, you will develop machine learning models and deploy them into production systems, working in close collaboration with software engineers, computer vision…

…scalable and fault-tolerant distributed systems - Experience with data processing, database internals. - Passionate about large scale systems and performance for AI. Anyscale Inc. is…

…service systems that are highly available and reliable. Familiarity with AI/ML concepts, especially in areas such as Machine Learning, Inference, Performance Optimization, Capacity…

Overview Microsoft Industry Solutions Delivery (ISD) is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class…

…degree in Electrical Engineering or related field - Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs - Experience…

…Inferentia and Trainium Systems — delivering high-performance ML inference and training at cloud scale. We’re looking for a Senior Manager, Physical Design Engineering…

…You will work on agent orchestration, reinforcement learning from expert feedback, trust and permission systems, and scalable inference infrastructure that powers intelligent advertising decisions…

…in data processing techniques, exploring emerging technologies and methodologies to improve system performance and capabilities - 5+ years of non-internship professional software development experience…

…requires strong technical expertise in distributed systems and programming, as you'll be responsible for creating performant, stable, and maintainable solutions that scale across…

…learning • Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference • Lead focused technical initiatives from…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics). - Experience in external enterprise customer-facing role as a technical lead, with strong…

…Work with technologies across the game organization stack, from game engines, to services, to Agentic systems (Claude Code, Cowork, OpenClaw, custom agents and bots…

…Operator Development Parallel Computing AI Compiler Systems Large Language Model (LLM) Inference Optimization Reinforcement Learning Deep Learning End to End Training Performance Modelling, Analysis…

…pipelines, while collaborating across robotics, systems, and AI teams to solve system-level engineering challenges and deliver reliable performance in industrial and everyday applications…