…Lambda is building the AI Cloud of the future. We are seeking a Senior Software Engineer to help our development of our Managed Kubernetes…

…alignment across ML Engineers, Software Engineers, PMs, and other teams. You are a self-starter who has actively experimented with AI in work or…

…experiments for AI/ML systems; you know how to tell whether a change actually made an agent better. - Strong software engineering skills, with a…

…ABOUT THE ROLE The Agentic AI Foundations team is building the core platform, systems, and primitives that enable Socure to transition from traditional software…

…You will work cross-functionally with Software Engineering, Product, Research and Responsible AI teams at Apple to ensure that our AI experiences are reliable…

…broader AI/ML portfolio. You will design RAG architectures, agentic AI workflows, model customization strategies, responsible AI implementations, and production-scale inference pipelines. You…

…and deploy AI/ML systems that process threat data at scale, running over large-scale security logs with real-time inference - Expand and improve…

…Deep understanding of AI/ML workflows, data pipelines, training/inference patterns, Vector DB, KV Cache and enterprise cluster deployments and ability to collaborate with…

…Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling. Strong DevOps/platform engineering practices: CI…

…Experience with hardware-software co-design for custom ML accelerators or AI chips Experience with ML compiler stacks such as MLIR, XLA, TVM, Glow…

…Who you are 5+ years of experience building distributed systems, observability platforms, or performance engineering tooling, ideally for infrastructure or ML systems rather than…

…generative AI inference and training as successive silicon generations land (see [https://bit.ly/metamtia](https://bit.ly/metamtia)). The MTIA Software team is…

…years managing software engineering teams with a track record of delivering measurable outcomes Technical background in at least two of: AI/ML systems, distributed…

…software engineering experience Solid full-stack fundamentals with production ownership of features you've shipped Familiarity with LLMs, embeddings, vector databases, or modern AI…

Meta is seeking a Systems Engineer to join our team working on AI/ML initiatives supporting large-scale AI training and inference. Our servers…

…how we scale AI inference infrastructure to serve millions of customers globally. - Define and own very large programs spanning multiple engineering teams, product organizations…

…Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and…

…You will collaborate closely with applied scientists, research scientists, economists, product managers, and software engineers. We are seeking innovative thinkers who can balance theoretical…

…behind AWS's largest ML training and inference clusters — integrating custom hardware, firmware, systems software, and services to turn AI accelerators (NVIDIA GB200/GB300…

…We are seeking a Senior Staff Software Engineer to build the runtime foundation for NVIDIA’s enterprise AI platforms. You will provide technical leadership…

…problems for AI workloads (both inference and training) and successfully transition these breakthroughs into enterprise and consumer products. Collaborate on hardware/software co-design…

…ML Engineering Analyze software requirements and collaborate with architecture and hardware engineers to support AI workloads. Build, deploy, and operate components supporting LLM inference…

…OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related…

…stability of software applications and ML systems (alerts, SLOs, auto-rollbacks, guardrails) Leads communities of practice across Software Engineering and AI/ML to drive…

…AI researchers and engineers to focus on AI workloads, not AI infrastructure, unleashing the full compute bandwidth of clustered GPUs. AI training and inference…