d-Matrix
Principal Architect, Performance Analysis and Modeling
$195K–$285K
Santa Clara +1 · Hybrid · Principal · Full-time · Posted Mar 11, 2026
- Location
- Santa Clara
Remote - Experience
- 10+ years with BSEE, or 8+ years with MSEE.
- Education
- BSEE; MSEE preferred.
About the job
Analyzes emerging machine-learning workloads and models performance on current and future d-Matrix hardware to guide hardware/software features for inference accelerators.
What you'll do
- Analyze ML workload properties and their functional and performance implications.
- Create analytical models to project performance on current and future hardware.
- Propose hardware/software features and collaborate with Product, Hardware Design, Compiler, Inference Server, and Kernels teams.
What they ask for
- BSEE with 10+ years of industry experience, or MSEE preferred with 8+ years of industry experience.
- Academic or industry experience in multiple relevant areas, including computer architecture, hardware-software codesign, performance modeling, and ML fundamentals, particularly DNNs.
- Programming fluency in C/C++ or Python.
- Experience developing analytical performance models and architecture simulators for performance analysis.
Nice to have
- MSEE.
- Research background with publications in top-tier architecture or machine-learning venues, such as ISCA, MICRO, ASPLOS, HPCA, DAC, or MLSys.
Pay
$195K – $285K USD base salary
Tools
C/C++, Python, DIMC, D2D, 3D-DRAM
AI focus
Analyzes generative inference and emerging ML workloads, including multimodal LLMs, chain-of-thought reasoning models, and video/audio generation; models and proposes accelerator features to improve inference performance.
Model-written summary · the original posting is authoritative