AI Compiler Engineer

Reposted 16 Days Ago
Be an Early Applicant
Hiring Remotely in Israel
Remote
Senior level
Hardware • Software
The Role
Develop AI graph compiler components and enhance AI model performance on NextSilicon's architecture, leveraging extensive C/C++ and Python programming experience.
Summary Generated by Built In

NextSilicon is reimagining high-performance computing (HPC & AI). Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. We have developed a novel software-defined hardware architecture that is achieving significant advancements in both the HPC and AI domains.

At NextSilicon, everything we do is guided by three core values:

  • Professionalism: We get exceptional results through professionalism and unwavering dedication to quality and performance.
  • Unity: Collaboration is key to success; we foster a work environment where every employee feels valued and heard.
  • Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on on NextSilicon’s unique hardware architecture—unlocking a new level of performance

We are seeking a talented engineer to work on our AI software stack and specifically the AI graph compiler which optimizes AI models to run on our hardware architecture. 

  • B.Sc. degree in software engineering, computer science, or a related field
  • 7+ years of experience in C/C++ programming for distributed and complex systems
  • Proficiency in Python programming
  • Experience with ML accelerators and AI compilers - advantage
  • Experience with Triton, Cuda or MLIR-based compiler frameworks-advantage

Top Skills

Ai Compilers
C/C++
Ml Accelerators
Mlir
Python
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The Company
HQ: Giv'atayim
280 Employees
Year Founded: 2017

What We Do

We believe in a smarter future and want to create new opportunities for innovation. In order to achieve this, we’re rethinking compute architectures for the future of computer processing.

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