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.

In this System Architecture Engineering role, you'll:

• Design and create representations and models for the system and hardware architecture of the Waymo Driver’s self-driving system (SDS) and it’s integration into a variety of vehicle platforms (including passenger car vehicles, commercial vehicles, etc)
• Model physical effects that impact the performance of different sensing modalities to evaluate performance of various sensing architectures
• Deeply understand the underlying technology solutions and challenges in the autonomous vehicle space in order properly model and/or simulate them and make decisions based on said models/simulations
• Develop tooling, automation, models, and or simulations to explore and characterize system architecture behavior and optimize for things like system level data flow, sensing performance, compute, power flow, etc.
• Read and write code to enhance the rigor, confidence, quality, and/or efficiency of architecture design
• Lead and communicate effectively to make recommendations and drive alignment and execution amongst all stakeholders, especially as pertains to, but not limited to, system architectural models

At a minimum, we'd like you to have:

• Bachelor's Degree in Computer Science, Computer Engineering, or SW Engineering generally, or equivalent practical experience; Master’s Degree preferred
• 6 or more years of engineering experience architecting complex systems in industry and/or developing models for complex systems; Some experience in automotive, automation, autonomous vehicles, robotics or aerospace industry preferred
• Deep knowledge of software engineering fundamentals, including ability to read, comprehend, and write code (C++, Python, Matlab, etc) 

It's preferred if you have:

• High level understanding of various systems needed to make a self-driving vehicle (sensors, compute, wiring, chassis communication, controls, etc.)
• Familiarity with with one or more sensing technologies as well contemporary sensor fusion approaches
• Proven systems thinking mindset and skills and system engineering practice -- ability to translate between big picture and details, adapt models accordingly, etc. 
• Familiarity with model-based methods and tools (such as SysML) 
• Strong communication skills and leadership abilities to work with both internal team and cross-functional engineering teams to align and drive towards decisions