AI and ML Infra Software Engineer, GPU Clusters

NVIDIA, a global leader in accelerated computing and AI technology, is seeking an AI/ML Infrastructure Software Engineer to join their Hardware Infrastructure team. This role combines cutting-edge AI technology with infrastructure optimization, offering an opportunity to directly impact the efficiency of NVIDIA's research capabilities. The position involves working with state-of-the-art GPU clusters and implementing advanced solutions for AI/ML workloads.

The role requires deep expertise in both AI/ML technologies and infrastructure management, with responsibilities spanning from performance optimization to collaboration with research teams. You'll be working with cutting-edge technologies including GPU computing, high-performance storage systems, and modern container orchestration platforms. The position offers competitive compensation with a base salary range of $184,000 - $356,500 USD depending on level and experience.

NVIDIA's culture emphasizes innovation, continuous learning, and collaborative problem-solving. The company has been at the forefront of transforming computer graphics, PC gaming, and accelerated computing for over 25 years. As an NVIDIAN, you'll be part of a diverse, supportive environment where everyone is inspired to do their best work and make a lasting impact on the world.

The ideal candidate will bring 8+ years of experience in AI/ML and HPC workloads, strong programming skills in languages like Python and Go, and expertise in distributed training systems. This role offers the opportunity to work with leading researchers and engineers while helping to shape the future of AI/ML technology at one of the world's most innovative companies.