System Software and Performance Engineer, Silicon

Google • Mountain View, CA

3d

About The Position

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. 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.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with programming in C/C++ or Java, and scripting languages (e.g., Python).
• Experience in one or more of the following three areas; linux kernel (particularly processes, threads, scheduling, syscalls, interrupts and exceptions), toolchains (experience on compilers, JIT compilation and symbolization) or, android system software stack.
• Experience conducting full-stack performance analysis and optimization on software systems.

Nice To Haves

• Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.
• Ability to be a fast and effective learner and to be comfortable with working on issues with ambiguity.
• Ability to diving into new technical territories.

Responsibilities

• Perform deep-dive analysis on workloads and kernels to identify performance bottlenecks and others miss.
• Plan and evaluate ARM architecture features, providing data-driven insights that shape future SoC designs.
• Partner with Android workload owners, tool-chain experts, and device teams to implement full-system optimizations.
• Design the benchmarks and modeling methodology that will define the next decade of hardware/software co-design.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees