Note: The job is a remote job and is open to candidates in USA. d-Matrix develops software and hardware innovations for generative AI and AI acceleration. The Principal Architect will analyze emerging machine learning workloads, create analytical performance models for current and future inference accelerator hardware, and propose hardware/software features in collaboration with cross-functional teams.
Responsibilities
- As a member of the architecture team, you will analyze the latest ML workloads (multi-modal LLMs, CoT reasoning models, video/audio generation)
- You will contribute hardware and software features that power the next generation of inference accelerators in datacenters
- This role requires keeping up with the latest research in ML architecture and algorithms and collaborating with different partner teams, including Product, Hardware Design, Compiler, Inference Server, and Kernels
- Your day-to-day work will include (1) analyzing the properties of emerging machine learning algorithms and workloads and identifying functional, performance implications (2) Creating analytical models to project performance on current and future generations of d-matrix hardware (3) proposing new HW/SW features to enable or accelerate these algorithms
Skills
- BSEE with 10+ years of industry experience
- MSEE preferred with 8+ years of industry experience
- Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, performance modeling, ML fundamentals (particularly DNNs)
- Programming fluency in C/C++ or Python
- Experience with developing analytical performance models, architecture simulators for performance analysis
- Self-motivated team player with strong sense of collaboration and initiative
- Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.)
Benefits
- Hybrid work arrangement: working onsite at the Santa Clara, CA headquarters 3 days per week; remote work in the United States will be considered.
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