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.
Responsibilities
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.
Responsibilities
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.
Requirements:
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.
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.
This position is open to all candidates.
