Principal Architect (Performance Analysis and Modeling)

Join D-Matrix as a Principal Architect in Performance Analysis and Modeling. In this role, you will analyze the latest machine learning workloads, contribute to hardware and software features for next-generation inference accelerators, and collaborate with various partner teams. You will need programming fluency in C/C++ or Python, a BSEE with 10+ years of industry experience or MSEE with 8+ years of industry experience, and a solid grasp of computer architecture, hardware-software co-design, performance modeling, and ML fundamentals. Benefits include equity, healthcare, flexible time-off, paid paternity leave, a 401k retirement plan, and a remote & hybrid working model.

• Analyzing the properties of emerging machine learning algorithms and workloads, and identifying functional and performance implications.
• Creating analytical models to project performance on current and future generations of D-Matrix hardware.
• Proposing new hardware/software features to enable or accelerate machine learning algorithms.
• Self-motivated team player with strong sense of collaboration and initiative
• Programming fluency in C/C++ or Python
• BSEE with 10+ years of industry experience or MSEE preferred with 8+ years of industry experience
• Experience with developing analytical performance models, architecture simulators for performance analysis,
• 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.)
• Solid grasp through academic or industry experience in multiple of the relevant areas – computer architecture, hardware software codesign, performance modeling, ML fundamentals (particularly DNNs)