What are the responsibilities and job description for the Systems Performance Engineer position at Fabric of Truth, Inc?
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.
\n- Develop and optimize low-level software for maximum performance across different architectures, including x86 and ARM.
- Write and analyze hand-crafted assembly code to exploit hardware capabilities fully.
- Diagnose and mitigate performance bottlenecks using advanced profiling and debugging tools.
- Collaborate with hardware engineers to ensure software and hardware alignment for optimal performance.
- Optimize cryptographic algorithms and implementations, leveraging hardware-accelerated cryptographic instructions where applicable.
- Analyze and improve performance at the micro-architectural level, including pipelines, memory hierarchies, and instruction-level parallelism.
- 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.