HPC Systems Performance Engineer

February 27

🏄 California – Remote

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

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ 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 Systems Performance Engineer with expertise in low-level programming, assembly language, and performance optimization. In this role, you will analyze, design, and implement performance-critical systems that push the limits of our custom hardware platforms.

🎯 Requirements

• Deep understanding of how compiled languages translate to assembly instructions. • Proven experience writing and optimizing hand-crafted assembly code for architectures such as x86 and ARM. • Strong programming background in C and C++. • Expertise with low-level debugging tools like GDB and LLDB. • Proficiency with performance profiling tools for diagnosing and addressing performance issues. • In-depth understanding of pipelines, memory hierarchies, and parallel computing architectures. • Expertise in instruction-level optimizations and their impact on hardware performance. • Experience with NVIDIA’s PTX/SASS GPU assembly language. • Deep understanding of GPU memory models and programming paradigms. • Expertise in optimizing cryptographic implementations for performance. • Familiarity with hardware-accelerated cryptographic instructions and their application.