Data Infrastructure Optimization Lead
1 month ago
Company Overview
Xonai is a pioneering start-up in the field of petabyte-scale data infrastructure optimization. Our cutting-edge platform combines hardware acceleration with real-time performance metering to enable actionable insights for reducing data center costs.
We've secured $3.5M in Seed funding, allowing us to expand our solution to new markets and grow our team of passionate engineers. As a key member of our team, you'll have the opportunity to directly impact the processing of 10s of petabytes every day.
Job Description
We're seeking a highly skilled CPU Compiler Engineer to join our founding team. In this role, you'll collaborate with us to improve and expand the core engine that massively accelerates Big Data pipelines.
Your responsibilities will include optimizing code generation for executing JIT-compiled code on CPUs (Arm and x86 architectures), diversifying compiler optimizations based on both compile-time and runtime information, and improving profiling and debugging capabilities for execution in CPUs targets.
You'll also work on enhancing the existing compiler design and toolchain, leveraging your expertise in backend compiler engineering, LLVM, and MLIR.
Requirements
To succeed in this role, you'll need 4+ years of experience with backend compiler engineering, as well as proficiency in C++14 and GitHub workflows. You should be able to write, test, and deploy production code driven by modern software engineering practices.
Experience working with LLVM compiler infrastructure and MLIR is highly desirable, as is knowledge of SQL data processing operations and algorithms.
A strong entrepreneurial spirit and previous experience in early-stage start-ups are also valuable assets.
Estimated Salary
$180,000 - $220,000 per year, depending on location and experience.
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