AI/ML System Architect, Silicon Full-time

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience, with an emphasis on AI/ML hardware and software.
• Experience with coding (e.g., Python, C/C , TensorFlow, Java, Kotlin, SQL).
• Experience in AI/ML hardware (AI accelerator, GPU) or software (e.g., Generative AI, Transformer, LLM, Stable Diffusion, Deep Neural Networks, Convolution Neural Networks).

Preferred qualifications:

• Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience, with an emphasis on AI/ML hardware and software.
• Experience in Android operating system.
• Experience in low power mobile processors.
• Knowledge of multimedia processing, such as image and audio.
• Knowledge of power and performance management features (e.g., DVFS – Dynamic Voltage and Frequency Scaling, thread scheduling, clock/power gating, QoS, throttling.).

About the job

Google engineers develop the next-generation technologies that change how users connect, explore, and interact with information and one another. As a member of an extraordinarily creative, motivated and talented team, you develop new products that are used by millions of people. We need our engineers to be versatile and passionate to take on new problems as we continue to push technology forward. If you get excited about building new things and working across discipline lines, then our team might be your next career step.

Google’s mission is to organize the world’s information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people’s lives better through technology.

The US base salary range for this full-time position is $108,000-$158,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Enhance Dynamic Voltage and Frequency Scaling (DVFS) software development for future GenAI use cases.
• Implement software prototypes (codes) for AI energy efficiency (e.g., Generative AI, Large Language Model (LLM), Multi-modal, Text-to-Image, and Image Enhancement).
• Explore energy efficient AI processing on mobile processors.
• Analyze hardware/software profile data to identify energy/performance inefficiency areas for future AI use cases.