Technical Program Manager (Onboard Systems, ML Modeling)

Join Waymo, a leader in autonomous driving technology, as a Technical Program Manager. In this role, you will be responsible for driving cross-functional execution and delivery of projects within the onboard team, collaborating with engineering, product, and release management teams. You will manage project schedules, identify risks and dependencies, and develop mitigation strategies. Additionally, you will facilitate communication and collaboration between teams, track and report on project progress, and contribute to strategic planning and technical roadmap development. This position offers a hybrid work model, competitive compensation, and a comprehensive benefits package.

• Drive cross-functional execution and delivery of projects within the onboard team, collaborating with engineering teams, product teams, and release management.
• Manage project schedules, identify risks and dependencies, and develop mitigation strategies.
• Track and report on project/program progress, risks, and key performance indicators (KPIs) to leadership and stakeholders.

• Experience with machine learning models, training pipelines, or evaluation frameworks
• Strong analytical, problem-solving, and technical judgment skills
• A Bachelor's degree in Computer Science, Engineering, or a related technical field
• Excellent communication, interpersonal, and presentation skills, effectively conveying technical concepts to both technical and non-technical audiences
• 5+ years of experience as a Technical Program Manager in a software engineering environment
• A proven track record of successfully managing complex technical projects involving machine learning and/or AI
• Experience with large language models (LLMs), vision language models, generative AI, diffusion models, large-scale model training, data labeling, data generation and packaging for model training
• Strong background in 3D computer vision, sensor fusion (camera, lidar), spatial reasoning, and 3D reconstruction methods (NeRF, Gaussian Splatting)
• Experience with cloud-based machine learning platforms and infrastructure
• Experience with simulation environments for autonomous systems, model validation strategies, and methods to ensure model reliability
• Experience with model evaluation techniques, metrics, time-series analysis, and predictive modeling using sensor data, model optimization, and scaling techniques
• Master's degree or PhD in a related field