MRL Recruitment
Performance Architect | Semiconductors
MRL Recruitment - Alameda, California, United States, 94501
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Overview
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Overview
California | High-Performance Computing & AI Acceleration
About the Company
Our client is a leading innovator in
semiconductor solutions for AI acceleration and high-performance computing (HPC) . Their cutting-edge architectures enable
next-generation data center workloads , optimizing
efficiency, scalability, and computational power
for AI-driven applications.
To support their continued innovation, they are seeking a
Performance Architect
based in
California
to drive
system-level performance analysis, optimization, and modeling
for their AI and HPC semiconductor architectures.
Key Responsibilities Design and implement
performance models
for
AI accelerators and HPC processors . Conduct
bottleneck analysis, workload characterization, and system performance tuning
to enhance computing efficiency. Work closely with
hardware, software, and algorithm teams
to optimize performance across the stack. Develop simulation frameworks and tools for
power, latency, and throughput analysis . Provide technical guidance on
microarchitecture trade-offs, memory hierarchy, and interconnect performance . Stay ahead of
emerging AI and HPC workloads , ensuring next-generation architectures meet evolving computational demands.
Qualifications & Experience Bachelor's, Master's, or PhD in
Computer Engineering, Electrical Engineering, or a related field . Experience in
performance modeling, profiling, and optimization
for
AI accelerators, GPUs, or HPC architectures . Strong understanding of
parallel computing, memory hierarchies, and dataflow optimization . Proficiency in
Python, C , or performance analysis tools . Experience with
AI frameworks (TensorFlow, PyTorch) and hardware acceleration techniques
is a plus. Strong analytical and problem-solving skills with a focus on
system efficiency and scalability .
What the Company Offers Opportunity to work on
cutting-edge AI and HPC semiconductor architectures . A
fast-paced, research-driven environment
with leading experts in
AI acceleration . Competitive salary, stock options, and comprehensive benefits. Career growth in a company shaping the
future of AI computing .
For more details or to apply, please reach out for a
confidential discussion .
#LI-JB2
About the Company
Our client is a leading innovator in
semiconductor solutions for AI acceleration and high-performance computing (HPC) . Their cutting-edge architectures enable
next-generation data center workloads , optimizing
efficiency, scalability, and computational power
for AI-driven applications.
To support their continued innovation, they are seeking a
Performance Architect
based in
California
to drive
system-level performance analysis, optimization, and modeling
for their AI and HPC semiconductor architectures.
Key Responsibilities Design and implement
performance models
for
AI accelerators and HPC processors . Conduct
bottleneck analysis, workload characterization, and system performance tuning
to enhance computing efficiency. Work closely with
hardware, software, and algorithm teams
to optimize performance across the stack. Develop simulation frameworks and tools for
power, latency, and throughput analysis . Provide technical guidance on
microarchitecture trade-offs, memory hierarchy, and interconnect performance . Stay ahead of
emerging AI and HPC workloads , ensuring next-generation architectures meet evolving computational demands.
Qualifications & Experience Bachelor's, Master's, or PhD in
Computer Engineering, Electrical Engineering, or a related field . Experience in
performance modeling, profiling, and optimization
for
AI accelerators, GPUs, or HPC architectures . Strong understanding of
parallel computing, memory hierarchies, and dataflow optimization . Proficiency in
Python, C , or performance analysis tools . Experience with
AI frameworks (TensorFlow, PyTorch) and hardware acceleration techniques
is a plus. Strong analytical and problem-solving skills with a focus on
system efficiency and scalability .
What the Company Offers Opportunity to work on
cutting-edge AI and HPC semiconductor architectures . A
fast-paced, research-driven environment
with leading experts in
AI acceleration . Competitive salary, stock options, and comprehensive benefits. Career growth in a company shaping the
future of AI computing .
For more details or to apply, please reach out for a
confidential discussion .
#LI-JB2