Be a key player in advanced ML developments as NVIDIA seeks a Senior Compiler Engineer. Optimize the LPX inference stack and work with cutting-edge technologies to enhance neural network performance.
As a Senior Machine Learning Applications and Compiler Engineer at NVIDIA, you will innovate at the crossroads of deep learning and compiler design. Your responsibilities include maintaining high-performance runtime components, mapping inference workloads, and collaborating with hardware architects. This role demands robust software engineering skills and a passion for optimizing ML applications.
Key Responsibilities:
• Develop and maintain inference optimization components • Implement mappings of large-scale workloads on NVIDIA systems • Extend NVIDIA’s software ecosystem for seamless model deployment • Benchmark performance and monitor efficiency metrics • Collaborate with hardware and design teams for architecture feedback
Requirements: • MS or PhD in Computer Science or related field • 5 years of experience in software engineering • Proficient in C/C++ or Rust • Hands-on compiler or runtime development experience • Familiarity with ML frameworks like TensorFlow and PyTorch
Bring your expertise in compilers and deep learning to drive performance innovations at NVIDIA. #J-18808-Ljbffr