Staff Systems Architect, Advanced Research and Development
Company: Google
Location: Mountain View
Posted on: July 1, 2025
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Job Description:
Minimum qualifications: Bachelors degree in Electrical
Engineering, Computer Engineering, Computer Science, a related
field, or equivalent practical experience. 8 years of experience
with computer architecture concepts or experience with Linux kernel
development, related to memory management, file systems, or power
management. 5 years of experience working with Mobile/Embedded SoCs
architecture or end-to-end use case system design. Preferred
qualifications: Masters degree or PhD in Electrical Engineering,
Computer Engineering or Computer Science, with an emphasis on
computer architecture. 10 years of experience in hardware/software
co-design, with a focus on computer architecture/accelerator
architecture or Linux kernel development. Experience driving system
architecture decisions across software/hardware teams within an
organization to build up the consensus and translate ideas into
architecture specifications. Experience in Linux kernel and Android
architecture. Knowledge of computer architecture, mobile System on
a Chip (SoC) architecture, and Machine Learning (ML) architecture.
About the job Be part of a team that pushes boundaries, developing
custom silicon solutions that power the future of Googles
direct-to-consumer products. Youll 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. In this
role, you will advise the research and development of innovative
software/hardware co-designed solutions that optimize system
performance and power and introduce groundbreaking technologies
that solidify Tensors position as the leading SoC platform. You
will be included in identifying emerging technologies, conducting
feasibility studies, prototyping solutions, and collaborating with
cross-functional teams to accelerate the integration of these
technologies into Tensors product roadmap, and delivering a
productized vertically integrated solution. You will be responsible
for proposing and designing the architecture specification for
these solutions, working closely with design and software
implementation teams to ensure successful realization of your goal.
You will play a critical role in the entire life-cycle of
technology development from initial research and proof-of-concept
to product implementation and user adoption. Googles mission is to
organize the worlds 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 peoples lives
better through technology. The US base salary range for this
full-time position is $183,000-$271,000 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. Responsibilities Lead the development
of architecture research proposals, encompassing specifications,
design documentation, workload analysis, and performance modeling,
to drive the future of Tensor SoC architecture. Lead these
proposals through the entire development life-cycle, guiding
evolution from concept to a vertically integrated solution deployed
within the SoC. Collaborate with software/hardware architects,
design teams, and research teams to drive critical Tensor SoC
architecture decisions that deliver user experience on Pixel
phones. Utilize a data-driven approach, employing on-goal
profiling, simulation, and modeling to build consensus and guide
architectural decisions across the silicon organization, and solve
challenging system design problems under ambiguous and dynamic
requirements.
Keywords: Google, Mountain View , Staff Systems Architect, Advanced Research and Development, Engineering , Mountain View, California