ZipRecruiter
Machine Learning Computer Architect, Senior Staff - Workload Analysis
ZipRecruiter, Santa Clara, California, us, 95053
Job DescriptionJob Description
This position is posted by Jobgether on behalf of
d-Matrix . We are currently looking for a
Machine Learning Computer Architect, Senior Staff - Workload Analysis
in
Santa Clara, CA .
We are seeking a highly skilled Machine Learning Computer Architect to advance the performance of next- AI applications at the intersection of hardware and software. This role focuses on analyzing emerging ML workloads, designing high-performance accelerator features, and bridging the gap between software algorithms and hardware systems. You will work closely with cross-functional teams to create analytical models, propose new hardware/software features, and optimize inference accelerators for data center environments. This position offers the opportunity to work on cutting-edge generative AI technologies and contribute to innovations that will shape the future of AI infrastructure.
Accountabilities:
The Machine Learning Computer Architect will be responsible for:
Analyzing emerging machine learning workloads, including multi-modal LLMs, chain-of-thought reasoning models, and generative video/audio models.
Developing and proposing hardware and software features to accelerate AI inference and optimize data movement across tensor cores, storage, and network layers.
Creating analytical performance models and using architecture simulators to project system efficiency for current and future hardware .
Collaborating with partner teams across product, hardware design, compilers, inference servers, and kernel development.
Staying current with research trends in ML architecture, algorithms, and accelerator technologies to ensure state-of-the-art solutions.
Contributing to publications or technical documentation for internal and external audiences.
Requirements
Candidates should meet the following qualifications:
BSEE with 7+ years of industry experience or MSEE with 4+ years of industry experience.
Strong foundation in computer architecture, hardware-software co-design, performance modeling, and machine learning fundamentals (particularly DNNs).
Programming fluency in C/C++ and Python.
Experience developing analytical performance models or architecture simulators (e.g., gem5, GPGPU-Sim).
Research background with publications in top-tier architecture or ML venues is a plus (e.g., ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys).
Self-motivated, collaborative team player with initiative and strong problem-solving skills.
Ability to work in a hybrid environment and contribute to complex, high-impact projects.
Benefits
This role offers:
Competitive salary range: $132K–$235K, depending on experience
Equity grants and performance-based bonuses
Comprehensive medical, dental, and vision coverage
401(k) retirement plan and other financial benefits
Flexible hybrid work arrangements
Opportunity to work on state-of-the-art AI hardware/software innovations
Collaborative, inclusive, and high-impact work environment
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
This position is posted by Jobgether on behalf of
d-Matrix . We are currently looking for a
Machine Learning Computer Architect, Senior Staff - Workload Analysis
in
Santa Clara, CA .
We are seeking a highly skilled Machine Learning Computer Architect to advance the performance of next- AI applications at the intersection of hardware and software. This role focuses on analyzing emerging ML workloads, designing high-performance accelerator features, and bridging the gap between software algorithms and hardware systems. You will work closely with cross-functional teams to create analytical models, propose new hardware/software features, and optimize inference accelerators for data center environments. This position offers the opportunity to work on cutting-edge generative AI technologies and contribute to innovations that will shape the future of AI infrastructure.
Accountabilities:
The Machine Learning Computer Architect will be responsible for:
Analyzing emerging machine learning workloads, including multi-modal LLMs, chain-of-thought reasoning models, and generative video/audio models.
Developing and proposing hardware and software features to accelerate AI inference and optimize data movement across tensor cores, storage, and network layers.
Creating analytical performance models and using architecture simulators to project system efficiency for current and future hardware .
Collaborating with partner teams across product, hardware design, compilers, inference servers, and kernel development.
Staying current with research trends in ML architecture, algorithms, and accelerator technologies to ensure state-of-the-art solutions.
Contributing to publications or technical documentation for internal and external audiences.
Requirements
Candidates should meet the following qualifications:
BSEE with 7+ years of industry experience or MSEE with 4+ years of industry experience.
Strong foundation in computer architecture, hardware-software co-design, performance modeling, and machine learning fundamentals (particularly DNNs).
Programming fluency in C/C++ and Python.
Experience developing analytical performance models or architecture simulators (e.g., gem5, GPGPU-Sim).
Research background with publications in top-tier architecture or ML venues is a plus (e.g., ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys).
Self-motivated, collaborative team player with initiative and strong problem-solving skills.
Ability to work in a hybrid environment and contribute to complex, high-impact projects.
Benefits
This role offers:
Competitive salary range: $132K–$235K, depending on experience
Equity grants and performance-based bonuses
Comprehensive medical, dental, and vision coverage
401(k) retirement plan and other financial benefits
Flexible hybrid work arrangements
Opportunity to work on state-of-the-art AI hardware/software innovations
Collaborative, inclusive, and high-impact work environment
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.