Senior System Software Engineer - Scientific Computing PaaS

NVIDIA is seeking a Senior System Software Engineer to help build their scientific computing platform on NVIDIA DGX Cloud. This role is at the forefront of developing a cloud-based accelerated scientific computing platform as a service, enabling Physics-based Numerical Simulation Solvers, AI-based Training, Inference, and Visualization workflow for physical science and engineering problems.

The position involves working on cutting-edge applications including Weather prediction, Climate modeling, Industrial design, and Digital twins simulation across various domains such as Aerospace, Automotive, Sports, Renewable energy, and Bio-medical sectors. The role requires expertise in cloud computing, distributed systems, and parallel processing.

As a Senior System Software Engineer, you'll be responsible for designing and implementing cloud-native microservices and APIs, managing infrastructure for scientific workflows, and optimizing system performance across the entire stack. The role requires deep understanding of application code, including DL Framework, Numerical Solvers, Microservices, APIs, and Heterogeneous accelerated computing with CPUs and GPUs.

The ideal candidate will have 10+ years of experience in building and operating distributed compute and data-intensive platforms, strong skills in compiled languages like Go or Rust, and extensive knowledge of cloud computing architecture. You'll be working with state-of-the-art technology at NVIDIA, widely considered one of the technology world's most desirable employers.

This is an excellent opportunity for someone passionate about solving complex problems at scale and interested in working at the intersection of scientific computing, cloud infrastructure, and high-performance computing. The role offers competitive compensation, including equity, and the chance to work on transformative technology that impacts multiple industries.