Machine Learning Performance Engineer

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About the team and the role:

We are seeking an experienced Machine Learning Performance Engineer with a profound knowledge of computer architecture, interconnect fabrics, machine learning accelerators, ML Toolchains, ML model quantization. This role requires a blend of expertise in software and hardware to enhance the performance and efficiency of machine learning systems. The ideal candidate will have a strong background in optimizing machine learning models through a comprehensive understanding of the entire computing stack, from high-level algorithms down to the hardware level.

What you will accomplish:

• Design and optimize software and hardware systems to improve the performance of machine learning workloads.

• Collaborate with multi-functional teams to develop scalable, efficient, and high-performance machine learning solutions that use advanced machine learning accelerators.

• Develop and optimize toolchains that improve the efficiency of machine learning models on specialized hardware.

• Analyze and optimize the interconnects between different hardware components to minimize latency and improve throughput in machine learning applications.

• Conduct in-depth performance analysis, identify bottlenecks, and implement solutions at both the software and hardware layers.

• Stay abreast of the latest advancements in machine learning technologies, toolchains, computer architecture, and hardware accelerators to drive innovation within the company.

What you will bring:

• PhD or MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.

• Extensive experience in system-level programming and optimization, with a deep understanding of computer architecture, interconnect fabrics, memory systems, toolchains.

• Proficiency in designing, evaluating, and optimizing hardware systems for machine learning applications, with specific knowledge of machine learning accelerators.

• Strong proficiency in programming languages such as Python, C, and experience with machine learning frameworks like PyTorch2.

• Understanding of machine learning algorithms, data structures, and software-hardware interaction principles.

• Experience with parallel programming, multithreading, synchronization.

• Ability to solve complex software systems and optimize code for performance enhancements.

• Strong communication skills, with the ability to work collaboratively in a multi-disciplinary team environment.

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