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.
Requirements- 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
- Develop our AI graph compiler and related components in the SW stack
- Drive the performance of AI models running on our unique architecture
Skills Required
- 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
- Experience with Triton, CUDA or MLIR-based compiler frameworks
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.
