AI Hardware Performance Modeling Architect (Hybrid/Remote)

d-Matrix; Santa Clara (CA); Hybrid; USD 170,000 - 210,000; Full time

Job summary

d-Matrix, headquartered in Santa Clara, CA, is seeking a Principal Software Engineer for Performance Analysis and Modeling. This onsite role, with 3 days per week hybrid in Santa Clara and US-wide remote consideration, focuses on modeling across hardware/software boundaries of AI inference accelerators and emerging workloads.

You will join the architecture organization to translate workloads into concrete modeling inputs and surface HW/SW improvements.

Qualifications

• BSEE with 6+ years of industry experience; or MSEE with 4+ years.
• Working knowledge of computer architecture, HW/SW co-design, performance modeling, and ML fundamentals (DNNs).
• Programming fluency in C/C++ or Python.
• Experience building or working with analytical performance models or architecture simulators.
• Self-motivated and collaborative, comfortable working across hardware and software teams.

Responsibilities

• Analyze emerging ML workloads and models to identify performance-relevant properties.
• Build and maintain analytical performance models projecting behavior on current and future d-Matrix hardware.
• Develop and extend architecture simulators for performance analysis of HW/SW features.
• Collaborate with hardware design, compiler, inference server, kernel, and product teams to validate modeling assumptions.
• Track ML architecture research and incorporate findings into modeling work.
• Propose HW/SW feature improvements based on modeling results.
• Document methodology and findings for reuse across the architecture team.

Skills

Computer Architecture

HW/SW Co-design

Performance Modeling

ML Fundamentals (DNNs)

C/C++

Python

Architecture Simulators

Analytical Models

Education

BSEE (6+ years)

MSEE (4+ years)

Job description

d-Matrix, headquartered in Santa Clara, CA, is seeking a Principal Software Engineer for Performance Analysis and Modeling. This onsite role, with 3 days per week hybrid in Santa Clara and US-wide remote consideration, focuses on modeling across hardware/software boundaries of AI inference accelerators and emerging workloads.

You will join the architecture organization to translate workloads into concrete modeling inputs and surface HW/SW improvements.