…management mechanisms, and N-S dataplane evolution. Understanding of AI inference serving architecture (vLLM, TensorRT-LLM, Triton) and how network infrastructure supports inference traffic…

…Experience building platforms for AI/ML training, inference, model serving, GPU-accelerated workloads, distributed compute, or high-performance computing. Deep expertise with CDN and…

…and high-performance computing workloads across Datacenter applications. You will work closely with silicon architects, hardware design teams, AI framework , product management, ecosystem partners…

…to senior business, compliance, and technology stakeholders through written executive summaries, functional documentation, and verbal presentations Experience leveraging AI tools for productivity and efficiency…

…deliver scalable, production-ready AI systems. Conduct experiments using the latest ML technologies, analyze results, and tune models for optimal performance. Own end-to…

…We expect senior engineers to apply AI-assisted and agentic workflows to accelerate design exploration, implementation, testing, debugging, documentation, operational analysis, and developer productivity…

…solutions into production systems and customer-facing products like SambaStack and SambaCloud, with work spanning the full lifecycle from training and inference to evaluation…

…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 unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes…

…of AI training and inference at scale. As a Senior Engineer on our Orchestration team, you will contribute to Lambda's managed orchestration services…

…Chief Product Officer, who oversee engineering, product, design, security, support. A Senior Executive Assistant provides high-level administrative and operational support, managing the executive…

…Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts. AI…

…ROLE OVERVIEW Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team…

…offers - Edge computing architectures enabling AI inference, computer vision, and operational intelligence at the restaurant level - Voice AI solutions leveraging natural language understanding and…

…data management and AI workflow integration. Strong ability to define storage configurations to meet production grade performance and SLA requirements.‑grade performance and SLA…

…Develops and maintains production-grade services, APIs, SDK integrations, and workflows that support model training, serving, evaluation pipelines, and AI application lifecycle management. Partners…

…ingestion through insight delivery — using AI tooling Background in retail real estate, store operations, or fleet performance management Familiarity with GIS, spatial analysis, or…

…We are looking for a Senior Product Manager to join our team! Responsibilities RESPONSIBILITIES: Support the development and execution of Azure Compute initiatives by…

…Experience with distributed training or inference for SLMs and LLMs, including data and model parallelism, mixed-precision training, checkpointing, experiment management, performance optimization, and…

…continuously assess AI infrastructure health and performance: GPU utilization and efficiency, interconnect (NVLink, InfiniBand, RoCE) fabric behavior, distributed training and inference throughput, and hardware…

…Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced…

…MTIA — the Meta Training and Inference Accelerator — is Meta's family of in-house AI accelerator ASICs, running recommendation and ranking workloads in production…

…Candidates should have had success in supporting engineering & product populations before, including Product Design, Product Management, Technical Program Management, Software Engineers, Test Engineers, Data…

…lifecycle management. Working knowledge of AI and machine-learning concepts, including generative AI, large language models, training and inference data, explainability, bias, performance monitoring…

…GenAI model performance - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. - Usage of generative AI tools to enhance…