Top Tech Jobs & Startup Jobs

Software Reliability Engineers at Waymo ensure the stable operation of autonomous systems, collaborating on reliability solutions and system performance improvements.

Analyze workloads for hardware mapping, design machine learning solutions, and collaborate with cross-functional teams on high-performance architecture.

Lead signal and power integrity engineering across product development, including SIPI planning, stack-up specifications, layout audits, simulation, lab measurements, model correlation, and design sign-off. Collaborate cross-functionally to resolve hardware issues and improve SI/PI workflows. The role also involves debugging, research into advanced technologies, and potentially automating workflows with Python or Tcl.

Lead the architecture and development of agentic AI systems for Waymo Driver evaluation and event triage. Build multi-agent orchestration, reasoning loops, stateful infrastructure, long-term memory, RAG, vector database, semantic routing, and internal tool integrations. Collaborate across teams to embed agents into evaluation workflows, mentor engineers, define technical strategy, and lead ambiguous automation initiatives from concept through production.

Lead the architectural design and strategy for Waymo's data platforms, ensuring metrics consistency and efficient data governance. Mentor engineers and collaborate with teams to enhance data systems and support autonomous technology deployment.

As a Senior Android Engineer, you will develop reliable Android components, design in-car systems, and manage the software lifecycle to enhance user experiences in autonomous vehicles.

Lead the automation of EV charging features, integrate vehicle controls with hardware and cloud applications, and manage testing standards and processes.

Develop and maintain Linux-based system software for autonomous vehicles, focusing on telematics, networking, and infrastructure testing.

As a Machine Learning Engineer, you will apply ML techniques for perception tasks, develop model training methods, and evaluate performance in autonomous driving applications.

This role involves advancing autonomous vehicle simulations using Generative AI technologies, managing the lifecycle of product innovations, and collaborating in an ML engineering team.