Software Engineer, ML Infrastructure, Limited Duration

Waymo; California, Mountain View (MO, CA); On-site; USD 136,000 - 173,000; Full time

Job summary

An innovative company focused on autonomous driving seeks a talented individual to join their ML Infrastructure team. This role involves enhancing the development ecosystem for machine learning, ensuring efficient model development and deployment. You will work closely with engineering teams to build systems that support data management and ML evaluation, contributing to groundbreaking projects that aim to revolutionize mobility. If you're passionate about technology and eager to make an impact in a cutting-edge field, this opportunity is for you. Join a dynamic team dedicated to pushing the boundaries of what's possible in autonomous driving.

Benefits

Equity Incentive Plan

Generous Company Benefits

Qualifications

• 2 years of professional experience on infrastructure projects.
• Experience in building internal infrastructure or tooling.

Responsibilities

• Contribute to Waymo's ML Infra stack, building tooling and systems.
• Deliver new Waymo products as part of an exciting roadmap.

Skills

C++

TypeScript

Customer Focus

Attention to Detail

Education

BS in Computer Science

Robotics

Job description

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Waymo ML Infrastructure team accelerates Waymo's mission by building the best ecosystem for sustainably innovating and shipping ML-powered intelligence. Our primary stakeholders are Research, Production, and Hardware teams, powering state-of-the-art models in Perception and Planning, core to our autonomous driving software. We provide best-in-class solutions for the entire model development lifecycle, collaborating closely with Google. Developer productivity, scale, and efficiency are core tenets. This role is a limited duration, at-will role to support projects across on the ML Infrastructure team, expected to take approximately 2 years.

You will:

1. Report into an Engineering Manager


2. Work on an exciting roadmap to deliver new Waymo products


3. Be a core contributor across to Waymo's ML Infra stack, building tooling and systems across the ML development ecosystem, such as data mining, data labeling, data management, ML evaluation, ML resources management, with the ultimate goal of enabling a smoother development experience and faster iteration speed

You have:

1. BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience


2. High customer focus and attention to detail


3. Proficiency in C++ or TypeScript

We prefer:

1. 2 years of professional experience on infrastructure projects


2. Be customer-centric, and be willing to go above & beyond to solve user problems


3. Passionate about building internal infrastructure or toolings

#LI-Hybrid

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

This position may also be eligible to participate in Waymo's equity incentive plan and generous Company benefits program, if applicable.

Salary Range

$136,000—$173,000 USD