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.
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