Technical Program Manager (Onboard Systems, ML Modeling)

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.

Responsibilities

• 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.
• 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
• Experience with model evaluation techniques, metrics, time-series analysis, and predictive modeling using sensor data, model optimization, and scaling techniques

Requirements

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
• Master's degree or PhD in a related field

Preferred

• 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

Pay

USD 159,000 - 196,000

Benefits

• This position offers a competitive compensation package, comprehensive benefits, and opportunities for professional growth.