Senior Software Engineer, Deep Learning - MLIR TRT

We are looking for outstanding Senior Deep Learning Software Engineers to develop and productize NVIDIA's deep learning solutions in autonomous driving vehicles. In the Solution Engineering-Automotive Machine Learning team, we are developing new technologies to allow more capable deep learning models to be deployed in Physical AI systems. As part of the role, you will develop compiler technology to allow larger and better models to be optimized to leverage NVIDIA’s unique hardware architecture. You will also be exposed to the most pressing problems that our partners face during product development and coordinate with other architecture and software teams to develop the best solution for partners working on our platforms. What you’ll be doing: Developing compiler technologies to accelerate deep learning inference on NVIDIA hardware platforms for Physical AI. Working across a wide range of abstractions from model fine-tuning and quantization to low-level kernel development and performance optimization. Develop workflows that let users leverage frameworks (e.g. PyTorch, JAX) and compiler technology tools (e.g. MLIR, Triton) without forgoing performance. Work with customers to help accelerate their workloads on NVIDIA platforms. Stay up to date with the latest research and innovations in deep learning, implement and experiment with new insights to improve NVIDIA's Physical AI DNNs. What we need to see: MS or PhD degree in computer science, computer vision, robotics, computer architecture or equivalent experience in technical field (or equivalent experience). 5+ years of work experience in software development. 2+ years of experience in developing deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.) or compiler technologies (e.g. LLVM, MLIR, TVM, Triton, etc.). Domain experience in technologies used for GPU programming (e.g. CUDA C++ and/or DSLs like OpenAI Triton) or with system-level optimization for deep learning training or inference. Strong C/C++ programming skills. Familiar with start-of-the-art deep learning techniques for inference and training. Willing to take action and have strong analytical skills. Ways to stand out from the crowd: Experience with MLIR or LLVM or similar compiler technologies. Background with low precision inference, quantization, compression of DNNs. Experience with GPU programming. Experience with building DSLs or optimizing compilers (e.g. graph compiler or kernel generator) for GPUs or other accelerated computing platforms. Open source project ownership or contribution, healthy GitHub repositories, guiding and/or mentoring experience. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #J-18808-Ljbffr