Power and Performance Engineer, PAI Platforms and Performance Analysis

What you'll do

• Profile power and performance across CPU, GPU, NPU, memory, and interconnects for SoC platforms.
• Execute benchmarks and real-world workloads on Linux-based devices and pre/post-silicon environments.
• Develop and maintain automation harnesses for workload execution, telemetry, and power measurement analysis.
• Establish methodologies for pre-silicon power and performance analysis including workload selection and correlation planning.
• Conduct post-silicon characterization to identify system bottlenecks and power/performance trade-offs.
• Define TDP methodology by linking workloads, sustained performance, and thermal constraints for SoC products.
• Translate product use cases into measurable engineering requirements for robotics and automotive markets.
• Produce technical reports to influence architecture, product, and platform decisions based on data analysis.

What we're looking for

• Degree or equivalent experience in Electronics Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related fields.
• Demonstrable experience in pre-silicon or post-silicon power and performance analysis.
• Experience with SoC power/performance analysis across heterogeneous compute systems including CPU, GPU, NPU, memory, or interconnect.
• Hands-on experience running workloads on Linux-based devices, development boards, embedded platforms, or pre/post-silicon environments.
• Experience developing or using automation harnesses for workload execution, data collection, profiling, and analysis.
• Proficiency in scripting and data analysis using Python, shell scripting, or similar tools.
• Ability to translate workload behavior and product use cases into measurable engineering requirements.
• Experience with automotive, robotics, edge AI, or heterogeneous compute platforms (preferred).