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