. Influence the ecosystem: contribute to TensorRT-LLM, vLLM, SGLang, and other open-source projects. Partner with architecture... (torch.compile, graph lowering, operator fusion). Architectural knowledge of CPU, GPU, FPGA or other DL accelerators;GPU...
, capture structured context at source, and ensure compliant, scalable Lab platforms like Benchling or LabWare LIMS. * SAFe Ways... platforms and ecosystems. Database Platforms: Expertise in NoSQL, in-memory, Graph and relational databases, which form the...
into production pipelines and activation systems. Help evolve the identity layer toward graph-based representations of members... Ops, contributing to containerized deployments, automated testing, and monitoring. Source and analyze features...
cybersecurity or intelligence fields. Graph database knowledge and experience with graph structures (nodes, edges, relationships...) Open source contributions or technical community involvement Docker and Kubernetes experience...
the Java platform and Open Source frameworks. Collaborate with engineering team to define the overall system architecture... and Graph databases Experience writing unit tests using common testing frameworks and actively contributing to code quality...
or AI/ML use cases Ability to translate complex source data into usable, high-quality representations for graph-based... information into graph-aware, semantically meaningful data products that can support analytics, reasoning, retrieval, and agentic...
. Business glossary governance. Own the enterprise business glossary — the authoritative source for what terms mean across the... Strong understanding of ontology and semantic modeling concepts — you can work fluently with knowledge graph engineers and data modelers...
feedback and pricing insights. The goal is a "science fiction speed" design-to-source digital thread from ideation to physical... learning-based approaches (graph neural networks on B-Reps, point-cloud and voxel encoders, differentiable geometry, neural...
feedback and pricing insights. The goal is a "science fiction speed" design-to-source digital thread from ideation to physical... learning-based approaches (graph neural networks on B-Reps, point-cloud and voxel encoders, differentiable geometry, neural...
extraction. Advance computational protein & antibody design. Leverage transformer‑based sequence models, diffusion/graph... for protein/antibody sequence, structure prediction/refinement, graph learning, diffusion models, transfer learning, multimodal...