Sort by
Refine Your Search
-
Listed
-
Employer
- U.S. Department of Energy (DOE)
- Stanford University
- Zintellect
- Georgia Southern University
- Argonne
- Princeton University
- Northeastern University
- Texas A&M AgriLife
- University of California
- University of Florida
- University of Maryland
- Villanova University
- Colorado State University
- Duke University
- Georgia State University
- Lawrence Berkeley National Laboratory
- New York University
- Oak Ridge National Laboratory
- Texas A&M University
- Texas A&M University System
- University of Maine
- University of Miami
- University of Nevada, Reno
- University of North Carolina at Chapel Hill
- University of South Carolina
- University of Washington
- Washington State University
- Yale University
- 18 more »
- « less
-
Field
-
skills and familiarity with LLM APIs (e.g., OpenAI API), agent frameworks (e.g. LangChain), PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Experience with front-end
-
developing LLM-based applications using Python APIs. Experience with large scale molecular dynamics (MD) packages e.g. lammps Experience with version control (e.g., Git) and collaborative software development
-
to enable downstream APIs and feature services Develop ETL workflows for cross-domain spatial data integration using staged refinement (e.g. Medallion Architecture) Engage with UF faculty leading FLDT
-
, NetworkPolicies, Pod Security, service-mesh mTLS such as Istio/Linkerd). Experience implementing/assessing identity and access for xApps/rApps and SMO northbound APIs (OAuth2/OIDC, JWT, fine-grained policy), and
-
, crop yield). -Familiarity with geospatial data and tools (e.g., GIS, QGIS, Google Earth Engine). -Knowledge of explainable AI (e.g., SHAP, LIME), model interpretation, and/or uncertainty quantification
-
custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction
-
, MLSys/SC/HPDC). Hands-on with distributed training/inference (FSDP, DeepSpeed, Megatron-LM), accelerator programming, and large-scale data pipelines. Experience building agents that use tools/APIs (e.g
-
design and testing and chassis to system design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development
-
design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development. Demonstrated programming experience in
-
custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction