RTL power engineer

Proxelera PVT LTD; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Proxelera PVT LTD is seeking an individual contributor engineer to own CPU architecture and system-level energy modeling, focusing on power analysis, optimization, and energy efficiency improvements for the CPU team.

The role involves developing novel power analysis techniques and profiling workloads to maximize battery life and energy efficiency, collaborating with SoC teams and performing RTL-level data mining for high-level power estimation.

Qualifications

• BS in Electrical Engineering or Computer Science, or equivalent practical experience.
• 3 years of industry or research experience in hardware or related fields.
• Experience with low-power fundamentals and power estimation.

Responsibilities

• Own and drive CPU architecture and system-level energy modeling.
• Develop power analysis techniques and optimization tooling.
• Collaborate with SoC and CPU Power Team on power analysis and workload profiling.
• Perform data mining at RTL and gate-level to define micro-architectural transactions for high-level power estimation.

Skills

Python

C/C++

Data analytics

RTL concepts

Education

BS in Electrical Engineering or Computer Science

Tools

PTPX

Ansys Power Artist

Synopsys Prime Power RTL

Gemini

Job description

• The CPU Power Team wants a talented individual contributor engineer to own and drive several activities related to CPU architecture and system level energy modeling, competitive performance and power analysis, power optimization, simulation and rollups.
• Develop novel power analysis techniques, optimization engines and other tooling solutions to improve the battery life analysis and maximize the energy efficiency of our CPU
• The qualified engineer will collaborate with the SoC and CPU Power Team on power analysis and projections and requirements for our CPU. This charter includes profiling the power of typical workloads such as YouTube, Facebook, etc
• Perform workload analysis for battery life and tests definition for power analysis and optimization
• Perform data mining analysis at the RTL and gate-level to define relevant micro-architectural transactions for high-level power estimation.

MINIMUM QUALIFICATIONS

• BS in Electrical Engineering, Computer Science, or equivalent practical experience
• 3 years of experience in industry (e.g. Hardware, etc.) or equivalent research
• Experience with low-power fundamentals (e.g., dynamic and leakage, power estimation, and optimization), data analytics and profiling
• Experience in flow automation (Python, C, C++, Gemini)
• Expertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL

PREFERRED QUALIFICATIONS

• 3-5 years of experience in RTL design and low-power design techniques
• Familiar with the concept of power management, retention, DVFS
• Experience with data science
• Familiar with CPU benchmarking, performance analysis and competitive study
• Demonstrated knowledge of CPU microarchitecture and system level