Top Tech Jobs & Startup Jobs

Lead Waymo’s Germany go-to-market strategy and build the local business from the ground up. Responsibilities include market and competitor analysis, quantitative modeling, pricing and business cases, KPI development, cross-functional initiatives, commercial deployment, and stakeholder management across product, partnerships, policy, regulatory, and operations teams. The role requires navigating German policy and regulatory environments and involves approximately 30% travel for operational oversight and external meetings.

Develop reliable Android components and user experiences for autonomous vehicle interiors, including pickup and drop-off, infotainment, displays, audio, and climate controls. Collaborate with designers, product managers, and vehicle software engineers to deliver safety-sensitive features. Lead technical designs, mentor engineers, manage the software lifecycle, and optimize performance for embedded systems.

MBA intern will research cross-functional user needs, identify system integrations, facilitate Salesforce tool planning and design with program managers and developers, and support change management through feedback sessions and user-team adoption. The role is a hybrid onsite internship within Waymo Operations, with emphasis on Salesforce design, program management, and preferably autonomous vehicle or technical startup experience.

MBA finance interns will collaborate across teams, build long-term financial models, conduct financial and external research, derive strategic insights, support business decisions, and present recommendations to senior leadership. The role requires strong financial modeling, financial statement knowledge, strategic thinking, and an MBA focused on finance, strategic management, or technology. Preferred experience includes management consulting, valuation, rideshare, automotive, autonomous vehicle, software, or technology industries.

Lead software engineering for autonomous vehicle pick-up and drop-off behaviors. Design cross-component solutions, build quantitative on-road evaluation methods, develop foundational frameworks, analyze large datasets, collaborate with product and onboard teams, mentor engineers, and address challenging long-tail driving scenarios. The role requires substantial complex-systems engineering and management experience, with preferred expertise in autonomous vehicles, robotics, and production machine learning.

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.

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.