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Senior Waymo Autonomous Vehicle Jobs (NOW HIRING)

Waymo

Hardware Reliability Engineer

Mountain View, CA · On-site

$144K - $177K/yr

The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider ...

Waymo

Hardware Reliability Engineer

Mountain View, CA · Hybrid

$120K - $152K/yr

We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and ...

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Senior Waymo Autonomous Vehicle information

What is the difference between Senior Waymo Autonomous Vehicle and Autonomous Vehicle Software Engineer?

AspectSenior Waymo Autonomous VehicleAutonomous Vehicle Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related field; experience in autonomous systemsBachelor's or Master's in Computer Science, Electrical Engineering, or related; programming skills in C++, Python
Work EnvironmentResearch and development in autonomous vehicle testing facilities, on-road testingSoftware development in labs, simulation environments, and vehicle integration
Employer & Industry UsageWaymo, automotive and tech industry, autonomous vehicle sectorTech companies, automotive industry, autonomous vehicle development

The Senior Waymo Autonomous Vehicle role focuses on overseeing autonomous vehicle operations, testing, and system integration, often requiring leadership and extensive industry experience. In contrast, an Autonomous Vehicle Software Engineer primarily develops and codes the software components that enable autonomous driving. Both roles require technical expertise, but the senior position emphasizes system oversight and testing, while the engineer role centers on software development and implementation.

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Senior Systems Engineer, Hardware Architecture

Senior Systems Engineer, Hardware Architecture

Waymo

Mountain View, CA • Hybrid

$123K - $168K/yr

Other

Posted 22 days ago

Job description

Hardware Engineering is a diverse, innovative, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule and you will report to a Systems Architect

You will:

  • Lead and conduct complex, multi-attribute trade studies to define the architecture of the next-generation Waymo Driver, balancing performance, reliability, cost, and other key factors
  • Develop and analyze architectural options for the overall Self-Driving System, with a strong emphasis on safety via robust fallback systems and high reliability
  • Collaborate with and drive alignment across diverse engineering teams (Software, Hardware, Sensing, Compute, Safety, Reliability) to make holistic and informed architectural decisions
  • Define key system interfaces and behaviors, ensuring a cohesive and well-integrated system design
  • Create and present clear and compelling technical recommendations to senior leadership and stakeholders, justifying architectural choices with data and analysis
  • Work closely with systems engineering to decompose architectural decisions into clear requirements for subsystem development
  • Manage and guide architectural change across current and future SDS generations, ensuring consistency and a clear evolution path

You have:

  • A bachelor's degree in Engineering (e.g., EE, ME, CS, Aerospace) or a related technical field
  • 5+ years of experience in systems architecture, systems engineering, or complex system design, preferably in autonomous vehicles, aerospace, or robotics
  • Proven ability to lead and execute complex technical trade studies involving multiple disciplines and competing objectives
  • Strong understanding of the underlying principles for design for high availability and safety-critical applications
  • Deep understanding of autonomous system components  and their functionality in at least one major area (Sensing, Compute, Software, Networking/ interconnections, Cleaning)
  • Exceptional cross-functional communication and collaboration skills, with the ability to influence without direct authority

We prefer:

  • Experience with functional safety (ISO 26262) and SOTIF (ISO 21448)
  • Experience with Model-Based Systems Engineering (MBSE) tools and methodologies (e.g., SysML)
  • Knowledge of reliability engineering analysis techniques (e.g., FMEA, FTA, Weibull analysis)
  • Experience with performance modeling and simulation of complex systems

Apply