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Posted 16 days ago
Design Technology Co-Optimization (DTCO) Engineer
Samsung ElectronicsDesign Technology Co-Optimization (DTCO) Engineer, Design flow and Methodology
Perks & benefits
Health InsuranceMedical Insurance
Requirements
15+ years experience with Bachelor's, 13+ years experience with Master's, 11+ years experience with Ph.D., 10+ years custom design tools development, 10+ years industry standard automated design tools, 10+ years Cadence Innovus or Synopsys Fusion Compiler, PPA analysis expertise, CMOS fundamentals knowledge, Tcl, Perl, or Python proficiency
Skills
PythonCADTCLCMOSSynopsys
About the role
Responsibilities
- Build efficient design and analysis flows and methodologies for DTCO to drive next-generation SoC products
- Develop CAD flows for custom design to push the PPA (power/performance/area) envelope with high levels of automation
- Drive collaboration with IP development teams to ensure process technology, design rules, and standard cell designs are consumable
- Explore methodologies to achieve low-power and high-performance goals for Samsung-specific SoC design styles
- Solve CAD and design methodology challenges by creating analysis metrics to remove development bottlenecks
- Provide and maintain thorough documentation and publish technical results
Requirements
- 15+ years of experience with a Bachelor's, 13+ years with a Master's, or 11+ years with a Ph.D. in Computer Science or Engineering
- 10+ years of experience in custom design tools and methodology development
- 10+ years of experience with industry standard automated design tools (synthesis, PnR, EM/IR, STA, or physical verification)
- 10+ years of experience with Cadence Innovus and/or Synopsys Fusion Compiler
- Expertise in PPA analysis across standard cell libraries, memory compilers, and interconnect stack options
- Strong knowledge of CMOS fundamentals, device physics, and scaling trends at advanced technology nodes
- Proficiency in scripting and programming languages including Tcl, Perl, or Python
- Strong data analysis skills to deduce information from large datasets
Preferred Qualifications
- Experience working directly with foundries
- Experience improving productivity and quality of results through machine-learning (ML) practices
Benefits
- Competitive base pay range ($180,200 - $270,400 depending on experience)
- Medical, dental, and vision insurance
- 401(k) and student loan program
- Free onsite lunch
- Employee purchase program and tuition assistance
- Paid time off and MBO bonus compensation
About the Company
Samsung Electronics is a global leader in technology, transforming the worlds of smartphones, semiconductors, and digital appliances through relentless innovation. At the Samsung Austin Research and Development Center (SARC), we build centers of excellence for Intellectual Property applied to high-performance computing devices consumed by millions worldwide.
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Samsung Electronics · Austin
