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Home›Jobs›Waymo›Software Engineer, ML Inference, Simulation Infrastructure
Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b⭐ 3.7
B2CTransportAutomation

Key Highlights

  • Operates in cities like Phoenix, San Francisco, and LA
  • Completed over 10 million fully driverless rides
  • Raised $11.1 billion in funding
  • Aiming for one million trips per week by 2026

Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...

🎁 Benefits

Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...

🌟 Culture

Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...

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Waymo

Software Engineer, ML Inference, Simulation Infrastructure

Waymo • Mountain View, CA, USA; San Francisco, CA, USA

Posted 3w ago🏢 HybridMid-LevelSoftware engineering📍 Mountain view📍 San francisco
Apply Now →

Skills & Technologies

C++Go

Overview

Waymo is seeking a Software Engineer for their ML Inference and Simulation Infrastructure team. You'll build and evolve ML inference infrastructure for simulations, focusing on reliability and user experience. This role requires 3+ years of experience in C++ and/or Golang.

Job Description

Who you are

You have a B.Sc. in Computer Science or a related field, or equivalent years of experience. With 3+ years of experience in software engineering, you have a strong foundation in programming languages, particularly C++ and Golang. You are passionate about building reliable and scalable systems, and you thrive in collaborative environments where you can work with cross-functional teams. You understand the importance of user experience and are committed to delivering high-quality software solutions. You are eager to tackle complex technical challenges and contribute to the development of innovative simulation products.

Desirable

Experience with machine learning frameworks and deployment strategies is a plus. Familiarity with simulation technologies and infrastructure will help you excel in this role. You are a proactive problem solver who enjoys learning new technologies and methodologies to enhance your skill set.

What you'll do

As a Software Engineer at Waymo, you will be responsible for building and evolving the ML inference infrastructure that supports our simulation products. You will work closely with other engineers, product managers, and data scientists to ensure the reliability, latency, and overall user experience of ML model deployment and serving. Your role will involve designing and implementing robust systems that can handle large-scale simulations, contributing to the evaluation of the Waymo Driver's software stack. You will also participate in code reviews, provide mentorship to junior engineers, and collaborate on best practices for software development.

You will have the opportunity to work on cutting-edge technology in the autonomous driving space, contributing to the mission of making the world's most trusted driver. Your work will directly impact the performance and reliability of our simulation infrastructure, helping to improve the safety and efficiency of autonomous vehicles. You will be part of a dynamic team that values innovation and collaboration, and you will have the chance to grow your skills in a supportive environment.

What we offer

Waymo offers a competitive salary range of $170,000 to $216,000 USD, along with eligibility for a discretionary annual bonus program and an equity incentive plan. You will also enjoy a generous benefits program that includes health, dental, and vision coverage, as well as opportunities for professional development. We foster a culture of inclusivity and encourage you to apply even if your experience doesn't match every requirement. Join us in our mission to revolutionize mobility and make a positive impact on the world.

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