Computational Scientist

Volt AI
Palo Alto
Workplace: OnsiteFull timeUSD 160,000 - 300,000 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["C++","CUDA","MPI","Krylov methods","Algebraic multigrid","Preconditioning","FEM","FVM","BEM","Neural operators","DeepONet","FNO","GNO","NCCL","NVLink","PETSc","HYPRE","Trilinos"]

As a Computational Scientist at Voltai, you will develop and scale HPC PDE solvers and neural operators to simulate electrostatics and electromagnetics on multi-node GPU clusters. You’ll implement MPI+CUDA workflows, optimize Krylov solvers and AMG preconditioners, build data pipelines for training neural operators, and validate results against analytical solutions and benchmarks.

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FursaFursa
Volt AI
Volt AI
6 months ago

Computational Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

As a Computational Scientist at Voltai, you will develop and scale HPC PDE solvers and neural operators to simulate electrostatics and electromagnetics on multi-node GPU clusters. You’ll implement MPI+CUDA workflows, optimize Krylov solvers and AMG preconditioners, build data pipelines for training neural operators, and validate results against analytical solutions and benchmarks.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Develop and scale MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field problems on complex 3D IC geometries across multi-node GPU clusters.
  • •Tune and extend AMG preconditioners, Krylov solvers, and mesh pipelines for performance and correctness at scale.
  • •Build and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.
  • •Design simulation pipelines that generate training data for neural operator models — including sampling strategies, mesh handling, and physical consistency checks.
  • •Validate everything: analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.

Pay and Benefits

Salary: USD 160,000 - 300,000 annually
Equity and Bonus:Equity

Key Requirements

  • •PhD in computational physics, applied mathematics, computational engineering, or a closely related field.
  • •Deep expertise in numerical PDE methods: FEM, FVM, or BEM — weak formulations, quadrature, convergence, error analysis.
  • •Strong C++ and CUDA — writing and optimizing kernels, memory hierarchy, multi-GPU programming.
  • •Multi-node HPC: MPI, domain decomposition, collective communication, strong/weak scaling.
  • •Hands-on experience with neural operators (FNO, DeepONet, or equivalent) — training, architecture design, and evaluation on PDE datasets.
Experience:HPCNeural operatorsPDEGPUMPICUDA
Education:PhD / Doctorate
Skills:C++CUDAMPIKrylov methodsAlgebraic multigridPreconditioningFEMFVMBEMNeural operatorsDeepONetFNOGNONCCLNVLinkPETScHYPRETrilinos
Tech Stack:C++CUDAMPIFEMFVMBEMKrylovAlgebraic MultigridNCCLNVLinkHYPREPETScTrilinosDeepONetFNOGNOMulti-node GPUMPI+CUDA

Company Brief

Volt AI
Builds AI-driven software and solutions to automate business workflows, extract insights, and augment decision-making for enterprise customers across industries.
Industry: Enterprise Software
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