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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.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Solutions Architect, Inference Deployments”. A match may be a passing mention rather than the job itself. Titles only.
752 roles · group by role · page 1 of 31
…through the deployment of disaggregated inference systems and resolving complex issues. What we need to see: 5+ Years in Solutions Architecture with a proven…
…through the deployment of disaggregated inference systems and resolving complex issues. What we need to see: 5+ Years in Solutions Architecture with a proven…
…You will solve complex architecture problems with solutions that are extensible and scale, yet always look for ways to simplify. You will work with…
…team owns the production inferencing service that serves SambaNova's models to customers on RDU accelerators, including capacity planning, deployment, monitoring, and incident response…
…Knowledge of ML converters/compilers and runtimes, and hardware-accelerated ML inference techniques. Understanding of Generative AI model architectures and their optimization for on…
…The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring LLM Serving Engineers at multiple levels to…
…The Qualcomm Cloud AI team is developing hardware and software solutions for Inference Acceleration. We are hiring an AI Performance Engineers at multiple levels…
…Key Responsibilities · Architect and deliver model optimization strategies that transform PyTorch models for efficient inference on Qualcomm accelerators. · Drive graph capture and deployment using…
…Job Description The Qualcomm Cloud AI team is developing software solutions for Inference Acceleration. We are seeking an ambitious, bright and innovative engineer who…
…field Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural network for computer…
…field Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural network for computer…
…field Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural network for computer…
…field Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural network for computer…
…field Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural network for computer…
…writing modules, CI/CD pipelines, deployment governance, and security reviews AWS cloud architecture : multi-account strategies, landing zones, environment isolation, and cross-account role…
…field Strong background in machine learning including model selection, architecting, training, validation, testing, and deployment Experience in building deep learning neural network for computer…
…technical solutions Apply and help refine architectural standards, patterns, and best practices within the infrastructure software team Partner with senior engineers and architects on…
…our RDU (Reconfigurable Dataflow Unit) architecture, combining hardware and software into an integrated platform for large-scale AI deployments. Our products include SambaRack, a…
…Familiarity with real-time inference systems and the architectural considerations of serving ML models in low-latency, high-throughput environments. Prior experience in a…
…Familiarity with real-time inference systems and the architectural considerations of serving ML models in low-latency, high-throughput environments. Prior experience in a…
…Modern Deployment Stack: Experience deploying and operating AI backend systems in production (API services, model inference pipelines, orchestration layers), with demonstrated ownership through reliability…
…8+ years’ experience delivering enterprise-scale solutions on Microsoft platforms (Dynamics 365 / M365 Copilot/ Power Platform / Azure), including integration, security, and deployment in customer…
…inference product designed to deliver high performance at low cost. You’ll provide leadership in the application of new technologies to large scale deployments…
…Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in computer architecture - Experience in professional software engineering…
…autonomous driving - Track record of successful production ML deployments - Experience with large-scale distributed environments for ML training and inference - History of impactful first…