Principal Engineer-SystemC

• System-Level Power Estimation & Optimization: Lead the research,development, and implementation of advanced methodologies and tools foraccurate system-level power estimation (pre-silicon and post-silicon).Drive the identification and recommendation of power optimization strategies across hardware and software components.
• Algorithm Development & Integration: Define, design, and optimize algorithms that are critical for system performance, power efficiency, and functionality. This includes, but is not limited to, algorithms for power management, resource allocation, performance optimization, and various domain-specific functionalities.
• System Modeling & Architecture : Develop comprehensive system-levelmodels (e.g., performance, power, functional) to enable early designspace exploration, trade-off analysis, and architectural validation.Drive the definition of system architectures that align withperformance, power, and cost targets.
• Methodology Development: Pioneer and implement novel system engineeringmethodologies, tools, and best practices to enhance the efficiency andeffectiveness of the design and development lifecycle.
• Technical Leadership & Mentorship: Provide technical leadership andguidance to cross-functional teams (hardware design, softwaredevelopment, validation, etc.). Mentor junior engineers, fostering aculture of technical excellence and continuous learning.
• Research & Innovation: Stay abreast of industry trends, emergingtechnologies, and academic research in system engineering, algorithms,and power management. Proactively identify opportunities for innovationand apply cutting-edge techniques to solve complex challenges.
• Cross-Functional Collaboration: Collaborate extensively with various product teams, research groups, and external partners to understand requirements, integrate solutions, and drive adoption of developed methodologies and models.
• Strategic Influence: Influence long-term technology roadmaps and strategic initiatives by providing expert insights into system capabilities, limitations, and future directions.

• Masters or Ph.D. in Electrical Engineering, Computer Science, Systems Engineering, or a related field
• 12+ years of progressive experience in system engineering, with a strong focus on algorithms, system modeling, and power estimation in complex hardware/software systems.
• Demonstrated expertise in developing and implementing system-level poweranalysis and optimization techniques.
• Proven track record of designing, developing, and optimizing complex algorithms for embedded systems or high-performance computing.
• Extensive experience with various system modeling approaches (e.g.,analytical models, simulation, hardware/software co-simulation) and associated tools (e.g., SystemC, MATLAB/Simulink, Python-based modeling frameworks).
• Deep understanding of system architecture, hardware-software interfaces, and performance bottlenecks.
• Strong programming skills in languages such as C/C++, Python, and/orMATLAB.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication (written and verbal) and interpersonal skills,with the ability to articulate complex technical concepts to diverse audiences.
• Demonstrated ability to lead technical initiatives, influence stakeholders, and work effectively in a highly collaborative R&Denvironment.
• Preferred Qualifications:
• Experience with specific domains such as AI/ML hardware acceleration,high-performance computing, or low-power embedded systems.
• Familiarity with industry-standard power estimation tools and methodologies (e.g., power profilers, power models from IP vendors).
• Experience with hardware description languages (Verilog, VHDL) and digital design flows.
• Contributions to patents, publications, or open-source projects related to system engineering, algorithms, or power management.

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