Responsibilities
- Develop and own physical design implementation of multi-hierarchy low-power ML Hardware design including physical-aware logic synthesis, floorplan, place and route, static timing analysis, IR Drop, EM, and physical verification in advanced technology nodes
- Resolve design and flow issues related to physical design, identify potential solutions, and drive execution
- Collaborate with ML architects and designers to understand the ML workloads and develop custom physical design methodologies and recipes to optimize the PPA of ML compute datapath design blocks
- Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
- Travel both domestically and internationally
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of experience in ASIC Physical Design
- Understanding of RTL2GDSII flow and design tapeouts in 3nm or below process technologies
- Experience with low power implementation, power gating, multiple voltage rails, UPF knowledge
- Experience working with EDA tools like Fusion Compiler, ICC2/Innovus, Primetime, RedHawk
- Experience with Python, TCL, Perl programming
Preferred Qualifications
- Experience running physical-aware logic synthesis and achieving optimal synthesis QoR on low power designs
- Master/PhD degree in EE/CS or equivalent areas
- Experience with custom or regular clock tree synthesis implementation at block level or top level, and clock power reduction techniques
- Knowledge of static timing analysis and concepts, defining timing constraints and exceptions, corners/voltage definitions
- Experience in Block-level and Full-chip floor-planning and power grid planning
$178,000/year to $250,000/year + bonus + equity + benefits
Learn more about this Employer on their Career Site
