Top Tech Jobs & Startup Jobs

Leads the design and implementation of zero-touch EV charging automation for an autonomous vehicle fleet. Integrates robotic charging systems, vehicle controls, charging hardware, cloud platforms, APIs, and data systems. Develops automated tests, CI/CD quality processes, standardized commissioning workflows, and virtualization opportunities. Coordinates product, engineering, commissioning vendors, and external partners while overseeing hardware-in-the-loop and in-vehicle testing.

Analyze differences between machine-learning and production behavior, cluster examples to identify trends, assess whether behaviors are desirable, and port desirable ML behavior into production systems. Collaborate on complex autonomous-driving software involving perception, decision-making, robotics, and deep learning.

Leads corporate communications and public relations for strategic partnerships, commercial expansions, and reputation management. Develops communications strategies, coordinates messaging with partner PR teams and internal stakeholders, writes press materials and executive briefings, and manages business and technology media relationships. The role requires strong writing, storytelling, media relations, cross-functional coordination, and independent project management in a fast-paced environment.

Leads global procure-to-pay finance operations, including requisitions, purchase orders, supplier management, payments, procurement systems, process optimization, risk mitigation, compliance, and international system scaling. Manages a high-performing team, partners with business systems engineering, oversees service providers, prioritizes resources, and drives continuous improvement through technology and AI-enabled productivity.

Conduct research on deep multimodal perception models for autonomous driving. Responsibilities include analyzing model representations, developing active learning and data curation algorithms, creating automated VLM labeling workflows, training and evaluating neural networks, and validating performance using large-scale vehicle sensor datasets and simulation environments.

Build and evaluate machine learning models that generate high-definition maps from raw sensor data. Develop statistical evaluation methods, scalable distributed data-processing pipelines, and backend infrastructure for global mapping. Collaborate with onboard engineering teams to improve mapping formats, manage the full modeling lifecycle, and measure system-wide impact. The role emphasizes autonomous vehicle mapping, large-scale systems, quantitative experimentation, and end-to-end software engineering ownership.

Develop software for autonomous vehicles that produces safe, smooth, and predictable driving behavior. Frame complex real-world scenarios as engineering problems, build algorithms and evaluation tools, scale solutions to large data pipelines, and optimize them for real-time operation in vehicles. The role involves collaborating across software, hardware, and systems engineering teams, with applications in motion planning, robotics, and machine-learning-based systems.

Develop software, algorithms, tools, and evaluation systems for autonomous vehicle maneuvering and motion planning. Solve complex real-world driving problems involving uncertainty and social interactions, scale solutions across large data pipelines, and optimize them for real-time vehicle operation. Collaborate with multidisciplinary engineering teams to ensure Waymo vehicles behave safely, smoothly, and predictably.

Develop software for autonomous vehicles that enables safe, smooth, and predictable driving behavior. Frame complex real-world problems, build algorithms and evaluation tools, scale them across large data pipelines, and optimize them for real-time vehicle operation. Collaborate with multidisciplinary teams on motion planning, robotics, machine learning, and autonomous driving systems.

Train and evaluate loss-of-control models, derive data-quality signals from learned models, design effectiveness measures, and build data pipelines for annotating synthetic training data.