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

We are seeking a talented engineering team leader to lead the team responsible for low-level optimization of AI models and kernels for our unique hardware architecture.

• B.Sc. degree in software engineering, computer science, or a related field.
• 5+ years of experience in C/C++ programming with a focus on performance-critical, distributed, or resource-constrained systems
• 3+ years of management experience as a team leader supporting engineers.
• Good understanding of LLM architectures, training & inference mechanics, and modern ML frameworks.
• Proficiency in writing AI kernels for GPUs such as GEMM and FlashAttention, and in low level software/firmware implementations
• Good understanding of HW/SW interfaces, memory management, SIMD/vectorization
• Excellent communication and teamwork skills
• Strong problem-solving skills and the ability to analyze and debug complex issues.
• Experience with ML accelerators and AI compilers - a plus.
• Proven leadership experience: mentoring, guiding and managing engineers, setting and tracking goals, optimizing team execution.

• Lead and mentor a team of engineers developing AI libraries and accelerating AI kernels
• Collaborate with hardware, compiler, and device software teams to improve performance.
• Develop our optimized AI libraries and related components in the SW stack.
• Drive the performance optimization of AI models running on our unique architecture.