Senior AI Research Engineer (Semiconductors)

Location: Palo Alto, USA (Onsite)

Company

hirify.global is a startup developing world models and AI agents to design and create hardware, electronics systems, and semiconductors beyond human cognitive limits.

What you will do

• Develop and scale MPI+CUDA PDE solvers for electrostatics and electromagnetic field problems on complex 3D IC geometries.
• Tune and extend AMG preconditioners, Krylov solvers, and mesh pipelines for performance at scale.
• Build and train neural operators (FNO, DeepONet, GNO) as high-fidelity surrogates for PDE-based solvers.
• Design simulation pipelines for training data generation, including sampling strategies and physical consistency checks.
• Validate models against analytical solutions, benchmarks, and cross-validation between solvers and surrogates.

Requirements

• PhD in computational physics, applied mathematics, computational engineering, or a related field.
• Deep expertise in numerical PDE methods (FEM, FVM, or BEM) including weak formulations and error analysis.
• Strong C++ and CUDA proficiency with experience in kernel optimization and multi-GPU programming.
• Experience with multi-node HPC, MPI, domain decomposition, and scaling strategies.
• Hands-on experience with neural operators and AI for Science methodology.

Nice to have

• Experience with HYPRE, PETSc, and Trilinos.
• Familiarity with multi-node GPU clusters (NCCL, CUDA-aware MPI, NVLink).
• Published work in neural operators, physics-informed ML, or scientific HPC.
• Domain knowledge in IC design, device physics, or semiconductor materials.