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 strive for exceptional results through professionalism and unwavering dedication to quality and performance.
- Unity: Collaboration is key to success. That's why we foster a work environment where every employee can feel valued and heard.
- Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.
- impact on industries, communities, and individuals worldwide.
We are seeking a highly skilled AI Application Team Lead to build and lead a team responsible for developing, running, and optimizing large-scale AI workloads on NextSilicon’s AI hardware platform. This role focuses on benchmarking state-of-the-art models (e.g., LLaMA, DeepSeek), executing MLPerf suites, analyzing system-level performance, and driving cross-stack optimizations across hardware, runtime, and software frameworks.
The ideal candidate combines strong technical depth in AI/ML systems, hands-on experience with LLM workloads, and leadership capability to guide a high-performance engineering team.
- 5+ years of experience in AI/ML engineering, performance optimization, or ML systems.
- Deep understanding of LLM architectures, training & inference mechanics, and modern ML frameworks.
- Strong proficiency in PyTorch ecosystem, with a specific focus on performance tuning via Triton, Cuda or MLIR-based compiler frameworks.
- Hands-on expertise profiling and optimizing kernels (GEMM, attention, softmax, token pipelines).
- Demonstrated experience running or tuning MLPerf or similar large-scale benchmarks.
- Strong Python and C++ development skills.
- Proven leadership experience: mentoring, guiding, or managing engineers.
Top Skills
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.
