Staff Engineer - Advanced Packaging Multiphysics Physics Modeling

Absolics Inc

$90K — $150K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years in mechanical/electrical engineering or related field
  • Expertise in FEA modeling with software like ANSYS or COMSOL
  • Proficient in interlayer stress modeling and cohesive zone modeling techniques
  • Solid understanding of semiconductor packaging processes and induced stress states
  • Experience in correlating simulation results with physical failure analysis
  • Familiarity with electrical performance simulation basics
  • Scripting skills for automation in Python, MATLAB, or similar

Responsibilities

  • Own simulation and modeling of Multiphysics behavior in advanced packaging
  • Build and validate predictive models for mechanical and electrical performance
  • Translate simulation outputs into actionable design rules for teams
  • Conduct finite element analysis on multilayer stacks and interfaces
  • Predict failure modes related to package reliability and validate through testing
  • Optimize mechanical and electrical performance in RDL and buildup layers
  • Collaborate with process and product teams to inform design decisions

Benefits

  • 401K with 6% matching and no vesting period
  • Full healthcare coverage (Health, Dental, Vision)
  • 100% support for life, STD, and LTD insurance
  • Cell phone allowance included
  • Generous PTO and emphasis on self-development
Full Job Description
Role Title: Staff Engineer - Advanced Packaging Multiphysics Physics Modeling (Mechanical- Electrical Co-Simulation)

Job Title: Staff Engineer - Advanced Packaging Multiphysics Physics Modeling

Location: Covington, GA

Job Type: Full-Time

Job Description:

This role owns the simulation, modeling and interpretation of Multiphysics behavior across advanced packaging architectures from die level interconnects through buildup layers to system-level integration. The engineer will build and validate predictive models for mechanical (stress, warpage, fatigue, delamination, cracking, SeWaRe) and electrical (signal/power integrity, thermal-electrical coupling) performance, translating simulation output into design rules and go/no-go decisions for process and product teams. Core work spans finite element analysis (FEA) of interlayer/interface stresses, material characterization and constitutive modeling, failure mode prediction (crack initiation, delamination, via cracking, SeWaRe type reliability failures), and RDL/buildup layer mechanical-electrical co-optimization, closing the loop between simulation predictions and physical failure analysis/reliability test data.

Required Skills:
  • FEA modeling (ANSYS, Abaqus, or COMSOL) for stress/strain, thermos-mechanical and fracture mechanics analysis in multilayer stacks
  • Interface/interlayer stress and delamination modeling (cohesive zone modeling, VCCT, traction-separation laws)
  • Material property characterization, and modeling for polymers (dielectrics, mold compounds) metals, (Cu, Ti seed), and glass/ceramic substrates - CTE mismatch, viscoelasticity, plasticity
  • Working knowledge of RDL buildup layer, and interposer architectures (organic, glass core) and their process induced stress states
  • Failure mode analysis tied to package reliability (thermal cycling, SeWaRe, drop/shock, warpage) with ability to correlate simulation to physical failure analysis (SEM, CSAM, cross-section)
  • Electrical performance simulation basics - signal/power integrity or coupled electro-thermal-mechanical modeling
  • Strong grasp of semiconductor packaging unit processes (lithography, plating, etch) and how they introduce residual stress
  • Scripting/automation for parametric studies (Python, MATLAB, or APDL/Abaqus scripting)
  • Ability to translate simulation results into actionable design rules for process/product engineering teams


Preferred Skills
  • Experience with panel level packaging reliability prediction
  • Exposure to system-level (board + package + die) co-simulation
  • DOE/Statistical methods for correlating simulation with experimental reliability data
  • Familiarity with glass core interposer or 2.5D/3D heterogenous integration mechanics
  • Experience with machine learning assisted surrogate modeling for faster design space exploration


Education:
  • PhD or equivalent industry experience in mechanical engineering materials science, or semiconductor device physics


Benefits:
  • 401K 6% matching (NO vesting period)
  • Healthcare 100% support (Health, Dental, Vision)
  • Life, STD, LTD 100 % support
  • Cell phone allowance
  • PTO and self-development


SALARY:
  • $90,000 - $150,000

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