Job Title:
Hardware SOC Architect
(10+ years experience)
Primary Location:
Hyderabad
Role Summary:
We are seeking an experienced Hardware Architect with
strong expertise in SOC-architecture, Micro-architecture
design, RTL coding and system-level
performance/power analysis.
The ideal candidate will have a track record of owning complex
blocks or subsystems from concept through silicon,
balancing performance, power, and area (PPA), and working closely
with
software, asic-design, asic-verification, asic-physicaldesign teams. it
requires deep architectural insight and hands-on implementation
understanding to help guide design trade-offs and drive the next
generation of AI inference accelerators.
Job Responsibility:
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Architecture & Micro-Architecture
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Define product feature and capabilities and own
the architecture for compute, memory, interconnect &
high-speed interface subsystems in the AI inference chip.
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Collaborate with software to co-optimize hardware features for AI
workloads.
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Collaborate with RTL designers to identify and complex
technical issues/risks. Review and guide RTL implementation,
ensuring consistency with architectural intent and timing/power goals
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Collaborate with Physical-design teams for
Area/Floorplan refinment, Timing targets etc.
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Define and document interface specifications, control/status logic, and
pipeline structures.
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Lead PPA analysis and trade-off discussions across RTL and
architecture.
Modelling & Analysis
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Develop and maintain high-level architecture and performance
models.
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Use simulation and architectural models to guide RTL-level improvements.
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Validate model predictions against RTL or emulation results and refine
accordingly.
Job Qualification:
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Bachelor’s or Master’s degree in Electrical Engineering, Computer
Engineering, or related field.
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10+ years of experience in SOC design, SOC architecture, RTL
design, micro-architecture.
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Strong understanding of computer architecture, memory hierarchies, SoC
interconnects, and AI/ML compute architectures.
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Proven experience optimizing for performance, power, and area.
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Hands-on expertise in Verilog/SystemVerilog, C/C++, and
scripting (Python/Tcl/Perl)
Preferred Qualifications:
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Experience with AI accelerators, DSPs, or high-performance CPUs/GPUs.
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Familiarity with performance modeling frameworks (e.g.,
Python/C++ based).
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Exposure to EDA tools, power/performance analysis, and hardware-software
co-design.
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Strong analytical skills and a collaborative mindset.