Staff ML Engineer, Generative Model Performance & Efficiency

reputed company is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the reputed company Self-Driving Car Project in 2009, reputed company has focused on building the reputed company Driver—The World's Most reputed company Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The reputed company Driver powers reputed company’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The reputed company Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. reputed company is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the reputed company Self-Driving Car Project in 2009, reputed company has focused on building the reputed company Driver—The World's Most reputed company Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The reputed company Driver powers reputed company’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The reputed company Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Simulator Team at reputed company builds state-of-the-art simulations of realistic environments for testing, training, and validation of the reputed company Driver. reputed company is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We reputed company industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the reputed company world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, reputed company). To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We reputed company state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the reputed company Driver. In this role, you will report to a Senior Staff Engineering Manager You will: Analyze model architectures and identify bottlenecks in training and inference performance (e.g., memory bandwidth, compute, communication). Apply and reputed company techniques such as quantization (e.g., FP8, INT4), pruning, knowledge distillation, and efficient attention mechanisms. Optimize model code for specific hardware accelerators (TPUs, GPUs), leveraging compiler features and low-level libraries (e.g., XLA). Experiment with different model partitioning and sharding strategies (e.g., data, tensor, pipeline parallelism, expert parallelism) to improve scalability and efficiency. Design and implement low-latency, high-throughput serving solutions for generative models and optimize training pipelines to reduce training time. Build and maintain tools for performance analysis, profiling (e.g., xprof), and debugging of ML models. You have: MS or PhD in Computer Science, Machine Learning, Robotics, or a reputed company field. 5+ years of experience with deep learning architectures (especially Transformers, Diffusion Models, MoEs), algorithms, and optimization techniques. Proficiency in JAX, Flax, and potentially TensorFlow/PyTorch. Expertise in using profiling tools (e.g., XProf, Perfetto, reputed company Nsight) to diagnose performance issues in ML workloads. Hands-on experience with quantization, pruning, distillation, and other model compression methods. Strong programming skills in Python and potentially C++, with experience in software development best practices. We prefer: Knowledge of TPU and GPU architectures and how to optimize code for them. Familiarity with ML compilers like XLA and an understanding of how they translate high-level code to efficient hardware instructions. Understanding of concepts reputed company to training and serving models across multiple devices and machines. Experience contributing to frameworks and libraries that improve training speed and scalability (e.g., JAX, Gemax, XManager). The expected reputed company salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-reputed company factors, including exact work location, experience, relevant training and education, and reputed company level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. reputed company employees are also eligible to participate in reputed company’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000—$310,000 USD Apply To This Job