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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Product Manager - AI Platform Inference”. A match may be a passing mention rather than the job itself. Titles only.
25 roles
About the Role Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers…
…Join us and help build the platform engineers turn to to ship AI products. THE ROLE The largest, most demanding enterprises are starting to…
Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior or Staff Infrastructure Engineer to act as…
…strategic Senior Technical Lead to join our team, with a focus on engaging developer ecosystems across emerging technology domains such as Generative AI, Autonomous…
…of using AI and casual inference to understand user behavior in our app, detect underlying intent, and to build data products needed to provide…
…Work closely with peer architecture teams and product management to guide development of the products. Keep abreast with emerging trends and research in deep…
…a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes…
…a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4…
…We're looking for Senior and Staff Software Engineers to architect, build, and own major areas of our onboard platform, from the OS, drivers…
…into language product and customers can act on. Go deep where it matters — across data pipelines (data collection, inference, fleet management), the robot-facing…
…enable Apple’s next generation of AI-driven experiences — from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics…
…serve AI cloud services, such as on-demand + managed Kubernetes and Slurm clusters. This platform serves both our internal StaaS products (inference, fine-tuning…
…products. As a Senior Software Engineer in Together Cloud Infrastructure, you will play a key role in building the next generation AI cloud platform…
…generation of storage for AI: training, inferencing, KV cache, RAG and more. Utilizing the best from NVIDIA's network products, DPUs and NICs, working…
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators…
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators…
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators…
…Help drive NVIDIA’s inference platform technical go-to-market efforts Work closely with engineering and product management teams to understand key technical capabilities…
…integration — streaming inference, prompt orchestration, retrieval-augmented generation. Experience building serverless or function-as-a-service platforms. Workflow engines (Temporal, Argo, Airflow) for durable…
…You'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly…
…stable GenAI and ML Workloads with AI agent systems using the Databricks Platform. You will develop product expertise end-to-end by advising a…
…Proven track record of successfully deploying and optimizing LLM models for inference in production environments. In-depth understanding of state-of-the-art language…
…Design and build critical platform components such as service discovery, request routing, load balancing, caching, batching, and traffic management for AI inference workloads. - Reliability…
…the platforms that 70+ engineers depend on to ship product quickly and safely — APIs, authentication, deployment tooling, backend-driven configuration, and similar - Manage migrations…
…to address production, full-stack machine learning challenges. This is not purely a research problem - Opinions about building a company-wide platform for ML…