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Responsibilities
- Detailed modeling, analysis and optimization of silicon use case power for Machine Learning Hardware accelerator, and create detailed cost/benefit analysis
- Collaborate with ML architects and designers to understand the ML workloads and develop 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
- 6+ years of experience as an engineer for production silicon
- Experience employing scientific methods to debug, diagnose and drive the resolution of cross-disciplinary system issues
- Knowledge of Silicon trade-offs in design and back end implementation
- Experience with Power Technology - Power Exchange, Power Artist or other power analysis/simulation tools
- Experience with Python, TCL, Perl programming
Preferred Qualifications
- Master/PhD degree in Electrical Engineering, Computer Science and/or equivalent work experience
- 6+ years of experience as Power engineer for production silicon
- Experience with Silicon power measurement, correlation and modeling
- Experience with CPU/GPU/Custom ASIC early power projections and modeling with feedback from silicon
- Experience with creating power model and estimating power for different IPs, working with IP owners in defining IP level targets and knowledge of use case power analysis
- Experience working with EDA tools like Fusion Compiler, ICC2/Innovus
- Experience in hardware microarchitecture or RTL design
$146,000/year to $209,000/year + bonus + equity + benefits
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