RTL Power Engineer

Programmers.io; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Programmers.io is seeking an individual contributor engineer to own and drive CPU power analysis and energy modeling activities. You will develop novel techniques, optimizers, and tooling to maximize energy efficiency and battery life for our CPU.

You will collaborate with the SoC and CPU Power Team on power projections, requirements, and workload profiling for typical applications like YouTube and Facebook.

Qualifications

• Experience in low-power fundamentals including dynamic and leakage power estimation and optimization.
• Experience with data analytics, profiling, and flow automation (Python, C, C++, Gemini).
• 3 years of industry or research experience in hardware or related fields.

Responsibilities

• Own and drive CPU architecture related power analysis and energy modeling activities.
• Develop novel power analysis techniques and optimization engines to improve battery life and energy efficiency.
• Collaborate with SoC and CPU Power Team to define power projections, requirements, and workload profiles (YouTube, Facebook, etc.).
• Perform workload analysis for battery life and define tests for power analysis and optimization.
• Perform data mining at RTL and gate level to define micro-architectural transactions for high-level power estimation.

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)

PREFERRED QUALIFICATIONS

• Expertise in vendor tools such as PTPX, Ansys Power Artist, Synopsys Prime Power RTL
• 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