Principal Compiler Engineer - MLIR

February 27

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

👷🏻‍♀️ Engineer

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Fabric Cryptography

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Fabric Cryptography is a company focused on revolutionizing the field of cryptography through the use of advanced hardware solutions. They have developed the Verifiable Processing Unit (VPU), a specialized chip that combines elements of GPUs and ASICs to accelerate cryptographic processes. The company's innovations lie in hardware-accelerated cryptography, allowing for high-performance systems where privacy is prioritized. Fabric's custom silicon chips, leveraging features such as finite-field arithmetic and optimized primitives, are designed to enhance the performance of various cryptographic algorithms. Additionally, Fabric offers a cloud solution to make advanced cryptographic operations accessible without the need for specialized hardware. The company's approach combines decades of experience in CPU, GPU, and hardware security module design to provide state-of-the-art cryptographic performance and flexibility.

11 - 50 employees

🔧 Hardware

🔒 Cybersecurity

📋 Description

• FABRIC CRYPTOGRAPHY • WE ARE BUILDING THE WORLD'S FIRST CRYPTOGRAPHIC COMPUTER  • Fabric believes hardware determines the boundaries of humanity's collective creativity and imagination. We are building hardware for the next generation of cryptography because we believe in creating a more trustworthy world with secure, private computation at its core. Just as encryption and decryption enabled the Internet as we know it, this new paradigm of cryptographic algorithms, such as zero knowledge proofs, have even broader potential to revolutionize how trust, privacy, and identity work in our society. • About the job • We are seeking a Compiler Engineer with exceptional expertise in code generation for massively-parallel computing architectures. In this role, you will contribute to the design and implementation of advanced compiler technologies, enabling hardware-aware optimizations that unlock new levels of performance for our custom hardware.

🎯 Requirements

• Advanced understanding of MLIR's multi-level intermediate representation. • Proven experience in designing and implementing custom dialects. • Expert-level skills in compiler development, including code generation techniques, optimization passes, and low-level transformations. • Fluency in systems programming languages such as C and C++. • Deep understanding of massively-parallel computing platforms, including GPUs, distributed models, and parallelization techniques. • Experience targeting hardware platforms like machine learning accelerators or custom AI hardware. • Experience creating custom computational languages tailored to high-performance computing. • Strong grasp of language design principles for specific domains. • Familiarity with TensorFlow XLA, PyTorch compilation technologies, or similar frameworks. • Experience optimizing computation graphs for machine learning.