75 parallel-computing-numerical-methods positions at National Renewable Energy Laboratory NREL
Sort by
Refine Your Search
-
Posting Title Graduate Summer Intern – Quantum Computing Emulation for Optimization . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
-
Posting Title Graduate Summer Intern – Quantum Reservoir Computing . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located at the foothills
-
Posting Title Graduate Summer Intern – Readiness for quantum computing in materials science . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is
-
Posting Title Undergraduate/Post-Undergraduate (Summer) Intern – Computational Modeling of Catalytic Bioenergy Processes . Location CO - Golden . Position Type Intern (Fixed Term) . Hours Per Week
-
.) Experience with big data tools (e.g., Hadoop, Spark, Kafka, etc.), data pipelines, and software development frameworks Experience with parallel programming (High Performance Computing experience is a plus) and
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse
-
at least one of: High-Performance Computing Distributed Systems Parallel Computing High Performance Algorithms Multiple Linux distributions · Experience with SLURM or similar HPC schedulers
-
learning and large-scale computational methods. Programming & Simulation Skills · Python (NumPy, SciPy) · Familiarity with optimization solvers (e.g., Gurobi, CPLEX, IPOPT, or similar) is
-
metrics for large-scale, unbalanced distribution networks. Designing and implementing advanced dynamic state estimation algorithms (EKF, UKF, MHE, WLS-based methods) for measurement-constrained distribution
-
development opportunities, and a competitive benefits package designed to support your career and well-being. Job Description The AI, Learning and Intelligent Systems (ALIS) Group in the NLR Computational