. Strong knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT..., computational geometry, and graph theory. Knowledge of vehicle dynamics, kinematic constraints, and control theory as applied...
of a graph-native context and memory platform purpose-built for modern AI workloads. This is not a feature factory role... — you will own significant pieces of the platform, including the query engine, storage layer, and graph internals, and make...
platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily..., graph optimization, kernel fusion, and model partitioning. Experience with frameworks such as DeepSpeed, Megatron, vLLM...
variables, connection references, deployment pipelines, source control, and CI/CD where appropriate. Design solutions using... Graph. Professional development experience using C#/.NET, JavaScript/TypeScript, or similar technologies. Experience...
, graph optimization, and code generation capabilities. Build compiler infrastructure for neural network models targeting... custom AI accelerators. Implement graph optimizations, operator fusion, memory optimization, and quantization workflows...
-score custom actions, data-source scope, embedded files, sharing breadth, and labeling gaps. Baseline, prioritize... controls and lifecycle processes at scale. Automation with PowerShell and Microsoft Graph;excellent documentation...
, along with a deep understanding of source control and release automation. What You'll Work On Design, implement, and maintain robust... continuous integration, continuous delivery, and infrastructure as code. Manage and optimize source code repositories...
and evaluation;multi-agent orchestration patterns;Retrieval-Augmented Reasoning;semantic enrichment and knowledge graph... supervisor, intake, and data-source-level agents;implement React-pattern reasoning loops;design and tune the retrieval pipeline...
and evaluation;multi-agent orchestration patterns;Retrieval-Augmented Reasoning;semantic enrichment and knowledge graph... supervisor, intake, and data-source-level agents;implement React-pattern reasoning loops;design and tune the retrieval pipeline...
and evaluation;multi-agent orchestration patterns;Retrieval-Augmented Reasoning;semantic enrichment and knowledge graph... supervisor, intake, and data-source-level agents;implement React-pattern reasoning loops;design and tune the retrieval pipeline...