Staff Engineer, AI ML Compiler

What You’ll Do

The Advanced Controller Development (ACD) Lab is part of Samsung’s Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. ACD’s vision is to solve critical bottlenecks in Cloud & Data center, Automotive, and even edge-devices by developing new approaches via memory/storage controllers, high-speed interfaces, and advanced architectures. We are an integral part of Samsung’s paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps. Come and join the team that is creating the new paradigm shift from a traditional CPU-centric to Memory-centric computation architectures needed to support emerging machine learning applications, data analytics, and edge computing.

Location: Hybrid, working onsite at our San Jose, CA or San Diego, CA locations 3 days a week, with the flexibility to work remotely the remainder of your time the remainder of your time

Job ID: 41380

• Architect and develop the compiler for AI Accelerator architecture, to enable inference of deep learning networks onto this architecture with an emphasis on performance and power
• Evaluate existing hardware blocks and work closely with the platform architecture team on the definition of new hardware features, and hardware specification review
• Identify and solve multi-discipline ML acceleration problems, especially with memory bottlenecks, involving algorithms, network design, hardware architecture
• Participate in the design, implementation, integration, and verification, and contribute to the architectural design.

What You'll Bring

• BS + 10 year experience, MS + 8 year of experience, PhD + 5 year experience in Electrical Engineering, Computer Science or related.preferred
• Strong programming skills in C/C++ and/or Python.
• 3+ years of relevant work or academic research experience in ML/DL compiler and/or platform
• Hands-on experience with neural networks inference on HW accelerators, GPU or DSP.
• Understanding of PPA (performance, power, and area) trade-offs, flash memory controller architecture and/or general computer architecture is beneficial.
• Self-motivated problem-solver with an ability to work well in a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change

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