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Salary
≈ $44k – $131k per year (Estimated)
Location
In office (Shanghai)
Seniority
Staff · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 7, 2026. Cadence Design Systems scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cadence Design Systems is an American software company founded in 1988 that supplies the electronic design automation tools engineers use to design and verify integrated circuits. Its products cover digital synthesis and place-and-route, custom and analogue design, circuit simulation with the Spectre and Virtuoso families, functional verification, and increasingly system-level analysis for packaging, thermal behaviour and computational fluid dynamics. Headquartered in San Jose and listed on Nasdaq, it also licenses design intellectual property such as processor and interface blocks, and competes primarily with Synopsys and Siemens EDA.
Backed by Sequoia Capital

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

## About the role

We build the finite-element engine behind our electrothermal and thermomechanical simulation products - the solver that our customers use to predict temperature, warpage, and stress in advanced packages, 3D-IC stacks, and PCBs. It is a large, production C++ codebase that meshes real industrial geometry with hundreds of millions of degrees of freedom and solves it in parallel.

You will join as a R&D engineer working directly with the team of simulation developers. This is a hands-on numerical-methods role: you will own features end to end - formulation on paper, implementation in C++, verification against analytical or reference solutions, and performance work on real customer cases.

## Responsibilities

- Derive, implement, and verify finite-element formulations in production C++.

- Write unit and regression tests, including verification against analytical

solutions and benchmark problems; treat a feature as unfinished until it is tested.

- Profile and optimize solver and meshing code for large models - both runtime and memory.

- Debug numerical issues on real customer cases: non-convergence, mesh quality, ill-conditioning, and accuracy loss.

- Write up formulations, assumptions, and validation results clearly enough that a colleague can reproduce them.

- Work with application engineers, QA, and product management to get features into customers' hands, and respond to what comes back.

## Required qualifications

- **PhD in Mechanical / Civil / Aerospace Engineering, Computational Mechanics,

Applied Mathematics, or a related field** (new graduates welcome), **or an MS in a

related field with 2+ years of relevant industry or research experience.**

- Solid grounding in **continuum mechanics and the finite element method**: weak

forms, isoparametric elements, numerical integration, assembly, and the

Newton-Raphson method for nonlinear problems.

- Working knowledge of **heat transfer and/or thermomechanical stress analysis** -

thermal eigenstrain, CTE mismatch, and the behaviour of layered structures.

- **Strong C++ (C++11 or later)**: you can read and safely extend a large existing

codebase, not just write greenfield code. Comfortable with pointers, memory

ownership, templates, and a debugger.

- Familiarity with **sparse linear algebra** and at least one sparse solver or

library.

- Ability to validate your own work: you reach for an analytical solution, a refined

mesh, or a patch test before you claim something is correct.

- Clear written and spoken English, and a genuine willingness to work as part of a

team - asking for review, giving it, and sharing what you learn.

## Preferred qualifications

- Experience with a commercial or open-source FEA code (Abaqus, ANSYS, LS-DYNA,

COMSOL, Code_Aster, FEniCS, deal.II, MOOSE) - as a developer, not only a user.

- Nonlinear FEA: large deformation, contact, plasticity, creep, or viscoplasticity.

- Parallel programming: OpenMP, MPI, or multithreaded C++.

- Direct and iterative sparse solvers (MUMPS, PARDISO, SuperLU, hypre/BoomerAMG,

PETSc) and graph partitioning (METIS/ParMETIS).

- Mesh generation, mesh quality metrics, or computational geometry.

- Semiconductor packaging or PCB background: 3D-IC, HBM stacks, solder reliability,

warpage.

- Development on Windows, and on Linux; Git or Perforce.

We’re doing work that matters. Help us solve what others can’t.

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