The Perception team at Waymo builds technology that powers the Waymo Driver. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, allowing ML practitioners like you to develop multi-modal models and techniques at scale.

You will report to our Head of Perception.

You will:

• Work closely with Perception engineers and build a deep understanding of the ML development workflows and systems, their requirements in order to achieve the desired development velocity, key systems constraints (latency, scale, budget, etc.). Such systems include: large-scale data extraction for model training, large model training pipelines, model inference systems, etc.

• Work closely with all the infrastructure teams that Perception model systems are built upon, to ensure optimal sharing of infrastructure and optimal performance for scaling and achieving efficient and large-scale model development

• Drive multi-year roadmaps on the Perception model systems, with the anticipated scale driven by business and technology roadmaps, as well as engineering efficiency

• Work with both the infra teams and Perception model teams on system designs

• Drive effective collaborations and execution among perception teams and infrastructure teams

You have:

• 15+ years of progressive experience in software engineering, with extensive experience in a technical leadership role.

• Track record of designing and building large-scale systems supporting model development (data, training, inference), with very large-scale data, and very large worker payload

• Track record in solving users’ needs end to end - working closely with the model engineers, and working backwards from the user / product needs to design and evolve the systems

• Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team

We prefer: