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 feedbackRequirements:- 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 PyTorchBring your expertise in compilers and deep learning to drive performance innovations at NVIDIA.#J-18808-Ljbffr

📌 Ml/Ai Compiler Engineer: Frameworks & Performance - C$133,922 - C$189,066 A Year (Winnipeg)
🏢 Intel
📍 Winnipeg