Software Engineer, Silicon, Power and Performance Optimization
Company: Google
Location: San Diego
Posted on: April 3, 2026
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Job Description:
Minimum qualifications: Bachelor’s degree or equivalent
practical experience. 2 years of experience with software
development in one or more programming languages. 2 years of
experience with power/performance management algorithms on Android
systems. 2 years of experience with performance, large-scale
systems data analysis, visualization tools, or debugging. Preferred
qualifications: Master's degree or PhD in Computer Science or
related technical fields. Experience with test automation
frameworks and unit/integration testing on Android. Experience with
AI/ML models such as LLM (Large Language Model) or audio/image
generation models. Understanding of Android system architecture,
including Inter-process communication (IPC) mechanisms, Binder, and
system services. About the job Google's software engineers develop
the next-generation technologies that change how billions of users
connect, explore, and interact with information and one another.
Our products need to handle information at massive scale, and
extend well beyond web search. We're looking for engineers who
bring fresh ideas from all areas, including information retrieval,
distributed computing, large-scale system design, networking and
data storage, security, artificial intelligence, natural language
processing, UI design and mobile; the list goes on and is growing
every day. As a software engineer, you will work on a specific
project critical to Google’s needs with opportunities to switch
teams and projects as you and our fast-paced business grow and
evolve. We need our engineers to be versatile, display leadership
qualities and be enthusiastic to take on new problems across the
full-stack as we continue to push technology forward. Our team aims
to achieve industry-leading power and performance efficiency for
AI/ML workloads. We focus on developing and prototyping innovative
solutions for power management and performance optimization of
AI/ML technologies running on Android-based services and Google's
custom silicon. We aim to identify optimization opportunities
across the software stack to enhance energy efficiency for
cutting-edge AI features. 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 $147,000-$211,000 bonus equity benefits. Our salary
ranges are determined by role, level, and location. 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 Analyze power and performance characteristics of
AI/ML workloads running on Android-based services and custom
silicon. Prototype and develop software optimizations to improve
power and performance for AI/ML workloads, identifying bottlenecks
and enhancing energy efficiency for use cases like Generative AI
and Large Language Models. Collaborate with hardware architects, AI
research teams, and Android framework engineers to understand
system behavior and integrate power/performance improvements.
Develop and utilize tooling for profiling, analysis, and evaluation
of power and performance impacts of proposed software changes.
Contribute to the full software development lifecycle, including
design, coding, testing, and documentation, ensuring high-quality
and maintainable code.
Keywords: Google, Temecula , Software Engineer, Silicon, Power and Performance Optimization, IT / Software / Systems , San Diego, California
