Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and lead the Vehicle Realism Platform for Waymo’s autonomous-driving simulator. Design scalable architectures, improve simulator reliability and reproducibility, bridge vehicle subsystems with simulation infrastructure, and deliver realistic simulation solutions across hardware platforms. Collaborate with robotics, onboard, hardware, evaluation, and simulator teams. The role requires backend development, production monitoring, systems programming, C++, and experience building products in distributed environments.

Develop and improve machine learning systems for autonomous driving perception. Responsibilities include creating scalable ML methods, analyzing real-world system behavior, diagnosing root causes, enabling distributed fine-tuning, preventing production regressions, monitoring deployed models, building automated debugging tools, and developing evaluation metrics and recipes. The role requires Python or C++, PyTorch or JAX, and at least three years of machine learning or computer vision experience.

PhD intern will improve causal and predictive pricing models using feature engineering, regularization, time series estimation, and loss quantification. The role involves applying causal inference, econometrics, predictive modeling, Python, and SQL to support pricing decisions and operational efficiency at an autonomous driving company.

Drive cross-functional execution of onboard autonomous driving and machine learning programs. Manage schedules, risks, dependencies, milestones, and stakeholder communications across engineering, research, product, and release management. Contribute to strategic planning and technical roadmaps for foundation models, resolve roadblocks, and report program progress and KPIs to leadership. The role requires technical program management experience in software environments and familiarity with machine learning models, training pipelines, and evaluation frameworks.

Software Engineering Interns investigate autonomous driving behavior using logs and large-scale data, identify root causes, develop perception and driving behavior improvements, enhance evaluation capabilities, and address challenging long-tail driving scenarios. The role involves collaborating across teams and contributing to Waymo’s Level 4 autonomous driving technology.

Conduct exploratory research, evaluate theories statistically, present findings to focus groups, and design and implement software. The intern will work on autonomous driving technology while collaborating with technical teams. Required qualifications include current PhD enrollment in computer science or a related technical field, Python programming fluency, statistical knowledge, and basic machine learning knowledge.

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 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.