…As a Software Engineer who has deep systems thinking to design, build, and enhance scalable and highly concurrent ML and AI serving platform. Knowledge…

…10+ years of overall experience in software engineering and product development , with a specialized focus in one of two tracks: The AI/ML Focus…

…By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and…

…scale ML data and training programs Preferred: Experience with edge AI inference platforms and embedded systems integration Preferred: Master's degree in Engineering or…

…inference. ABOUT THE ROLE As a Kernel Engineer at Cerebras, you will develop high-performance software at the intersection of hardware and software for…

…2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience. Strong Python…

…Required Qualifications - BS, MS, or PhD in Computer Science, Computer Engineering or related field. - 12+ years building compiler, ML systems, or infrastructure software. - 5…

…software engineering, statistics and machine learning Success in establishing and evolving operational practices in a software engineering organization Experience owning and maintaining ML models…

…Expert-level software engineering fundamentals using Python, PyTorch, or JAX, with a track record of building reliable, highly scalable ML systems. Proven ability to…

…Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. - Platform Features / Bug Fixes: Contribute to the internal ML platform…

…Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. - Demonstrated ability to build production software with customers…

…Design, develop, and deploy end-to-end AI-powered applications tailored to customer needs. - Platform Features / Bug Fixes: Contribute to the internal ML platform…

…We are looking for a Software Development Engineer who wants to work at the frontier of AI governance — building the platform that gives Amazon…

…Software Engineer to build efficient on-device AI software for RTX and DGX-class systems. This role focuses on high-performance local inference, low…

…and production inference. The ideal candidate is a senior technical DevRel leader who can earn credibility with ML researchers and platform engineers. This person…

…CPU Software & Hardware Co-Design Engineer (ML Systems) Location: Bangalore (or relevant) Levels: Engineer / Senior Engineer / Staff / Principal Engineer Role Overview We are building…

…agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider…

…Forward Deployed Engineer, Applied AI Engineer, Solutions Architect, ML Engineer with field exposure, or technical founder. - Demonstrated ability to build production software with customers…

…Experience navigating privacy challenges specific to AI/ML, including training data governance and model inference privacy. Strong platform product sensibility: the ability to think…

…of working with machine learning systems and/or platforms. - Experience in serving LLMs using inference engines like vLLM, TensorRT-LLM, TEI, SGLang, and knowing…

…This is production infrastructure serving live inference, so reliability isn't an afterthought. - Make the engineers around you better through code review, design feedback…

…outcomes and influence strategy Familiarity with modern data platforms (e.g., Spark, Snowflake, Airflow) and ML Ops tooling Passion for fostering inclusive team environments…

…Attracting, hiring, and guiding the career of talented ML, software, and tools engineers. Working with cross functional partners to push the state-of-the…

…AI systems, working side-by-side with engineering leaders at other companies to adapt our AI platform to their specific environments and constraints. Crucially…

…AI systems, working side-by-side with engineering leaders at other companies to adapt our AI platform to their specific environments and constraints. Crucially…