Package & SI/PI - Senior/Staff Packaging Engineer - Electro-Thermal

Job Description

Job Description

Join the leading chiplet interconnect startup! We are seeking an experienced Senior/Staff Packaging Engineer specializing in electro-thermal simulation to join our advanced packaging team. You will develop comprehensive thermal and electrical simulations for next-generation semiconductor packaging solutions, including 2.5D/3D IC integration, chiplet-based systems, and advanced heterogeneous integration technologies. This role is critical in enabling high-performance computing, AI accelerators, and advanced chiplet architectures. We offer a fun work environment with excellent benefits. ONSITE M-F

Key Responsibilities:

• Develop detailed thermal models for 2.5D/3D IC packages, chiplets, and multi-die systems; perform steady-state and transient thermal analysis with hotspot identification
• Execute power integrity (PI) and IR drop analysis; optimize power distribution networks (PDN) and power delivery architectures
• Conduct electromigration (EM) and reliability analysis for interconnects, bumps, TSVs, and redistribution layers (RDL)
• Develop chip-package co-simulation workflows using industry-standard EDA tools (ANSYS RedHawk\u0002SC, RHSC-ET, SIwave, Cadence Sigrity/Clarity)
• Create hierarchical compact macro models (CMM) and reduced-order thermal models for early\u0002stage design optimization
• Automate simulation workflows using Python, TCL, and Shell scripting; build design space exploration tools
• Collaborate with silicon design, package design, and manufacturing teams on design-for-reliability (DFR) initiatives
• Support customer engagements with technical analysis and present findings to stakeholders

Minimum Qualifications:

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Education:

• PhD in Electrical/Mechanical Engineering, or related field with focus on thermal management, power delivery, or electronic packaging (Master's with 5+ years experience considered)
• Strong academic background in power integrity, signal integrity, and thermal management for advanced packaging

 

Technical Skills:  

• Expert proficiency in: ANSYS RedHawk-SC, RHSC Electrothermal, Totem, PathFinder, SIwave, HFSS, Q3D; Cadence Voltus, Sigrity, Clarity; Synopsys RedHawk Fusion, PrimeTime, ICC2
• Experience with physical design tools (Cadence Innovus, Synopsys ICC2, Siemens Calibre) and RTL\u0002to-GDSII flows
• Strong programming/scripting: Python, C/C++, Tcl, Shell (bash); Verilog/VHDL/SystemVerilog for verification
• Knowledge of advanced packaging: 2.5D/3D ICs (CoWoS, InFO, EMIB), chiplets, TSVs, interposers, FOWLP, RDL design

 

Domain Expertise:  

• Deep understanding of EM/IR analysis, power integrity, thermal physics, and electrothermal co\u0002simulation
• Expertise in heat transfer principles (conduction, convection, radiation), thermal material properties, and CTE mismatch
• Knowledge of chiplet standards (UCIe and BoW), die-to-die interfaces, and wafer-scale integration
• Hands-on experience with semiconductor package thermal/electrical analysis and tape-outs 

Ideal Qualifications:

• Familiarity with machine learning applications in EDA and design optimization
• Experience with HPC, AI/ML accelerator packaging, or co-packaged optics (CPO)
• Background in reliability testing (thermal cycling, HTOL, THB) and measurement correlation

What we are looking for:

• Strong analytical mindset with expertise across multiple physics domains (thermal, electrical, mechanical)
• Excellent communication skills to present complex technical concepts to diverse audiences
• Cross-functional collaboration abilities to work with silicon, package, product, and manufacturing teams
• Self-motivated professional who thrives in fast-paced environments with minimal supervision
• Continuous learner staying current with emerging technologies; innovation-driven with creative problem-solving
• Results-oriented engineer delivering high-quality work to enable product milestones on schedule

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.