Principal Performance Modeling Engineer

Openkrill; United States; Hybrid; USD 180,000 - 240,000; Full time

Job summary

d-Matrix is seeking a Principal Software Engineer to analyze and model performance across the hardware/software boundary of AI inference accelerators. You’ll work on emerging hardware technologies and workloads, building analytical models and simulation tools to project performance on current and future silicon, collaborating with multiple teams to surface improvements.

The role is hybrid, onsite in Santa Clara, CA with US-wide remote consideration.

Qualifications

• BSEE with 6+ years of industry experience or MSEE with 4+ years.
• Strong knowledge of computer architecture and HW/SW co-design.
• Proficiency in C/C++ or Python programming.

Responsibilities

• Analyze emerging ML workloads and models to identify performance-relevant properties.
• Build and maintain analytical performance models projecting behavior on hardware generations.
• Develop and extend architecture simulators for performance analysis.
• 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 modeling methodology and findings for reuse across the team.

Skills

C/C++

Python

Performance modeling

Architecture knowledge

Collaborative

Education

BSEE

MSEE

Tools

Architecture simulators

Job description

d-Matrix is seeking a Principal Software Engineer to analyze and model performance across the hardware/software boundary of AI inference accelerators. You’ll work on emerging hardware technologies and workloads, building analytical models and simulation tools to project performance on current and future silicon, collaborating with multiple teams to surface improvements.

The role is hybrid, onsite in Santa Clara, CA with US-wide remote consideration.