Principal Architect, Performance Analysis and Modeling
d-Matrix · Santa Clara · Remote
Infrastructureremoteprincipal$195k–$285k
At a glance
Highlights
- Build future of AI inference with memory-centric architecture.
- Analyze multi-modal LLMs, reasoning models, video/audio generation.
- Propose HW/SW features for next-gen datacenter inference accelerators.
What they offer
- Equity
- Bonus
Ideal candidate
Self-motivated architect energized by hard AI infrastructure problems who thrives on collaboration, research curiosity, and co-designing hardware and software for next-gen inference.
Requirements
- BSEE with 10+ years of industry experience or MSEE with 8+ years of industry experience
- Solid grasp of computer architecture, hardware-software co-design, performance modeling and ML fundamentals (DNNs)
- Programming fluency in C/C++ or Python
- Experience developing analytical performance models and architecture simulators for performance analysis
- Research background with publication record in top venues like ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys a plus
- Self-motivated team player with strong collaboration and initiative
- remote policy
- Will consider remote in the United States
Lab profile
About d-Matrix
Pioneers memory-centric compute-in-memory chips and software for faster, energy-efficient AI inference.
What they build
- Digital in-memory compute inference chips
- Rack-scale AI inference systems
- AI inference software stack
Known for
- Compute-in-memory architecture
- Energy-efficient inference design
- Full-stack chips-to-systems expertise
Key facts
- Founded in 2019
- Headquartered in Santa Clara, California
- Backed by Temasek, Playground Global, and M12
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