Waymo

About Waymo

Revolutionizing transportation with autonomous driving

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mountain View, CA💰 $11.1b3.7
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...

Waymo

Software Engineering Mid-Level

WaymoMountain View - Hybrid

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Skills & Technologies

Overview

Waymo is seeking a Software Engineer specializing in Perception Optimization to enhance sensor data processing algorithms. You'll work with CUDA, CPU, and GPU technologies to optimize performance in autonomous driving systems. This role requires a background in system-level optimization.

Job Description

Who you are

You have a strong background in software engineering with a focus on optimization techniques for CPU and GPU performance. Your experience includes implementing efficient algorithms for processing sensor data, and you are familiar with the intricacies of system-level optimization. You understand the importance of low-latency processing in autonomous systems and are eager to contribute to advancements in this field. Experience with compiler technology is a plus, as it complements your skill set in optimizing code for performance.

You thrive in collaborative environments where you can work closely with cross-functional teams to tackle complex challenges. Your problem-solving skills are complemented by a deep understanding of compute hardware, allowing you to make informed decisions that enhance system performance. You are passionate about the impact of technology on mobility and safety, aligning with Waymo's mission to improve access to transportation.

Desirable

Familiarity with autonomous driving technologies or experience in the automotive industry would be beneficial. You are also encouraged to apply if you have experience in simulation environments, as this knowledge can enhance your contributions to the team.

What you'll do

In this role, you will implement highly efficient sensor data processing algorithms that are critical for the performance of the Waymo Driver. You will optimize existing CPU code to improve compute utilization and reduce latency, ensuring that the system operates at peak efficiency. Writing CUDA kernels will be a key responsibility, as you will speed up specific operations that are essential for real-time processing.

You will work across the entire software stack, collaborating with other engineers to identify bottlenecks and implement solutions that enhance overall system performance. Your contributions will directly impact the effectiveness of the Waymo Driver, enabling it to process vast amounts of data quickly and accurately.

You will also engage in performance testing and validation, ensuring that the optimizations you implement meet the stringent requirements of autonomous driving applications. Your role will involve continuous learning and adaptation as you stay updated with the latest advancements in optimization techniques and technologies.

What we offer

Waymo provides a competitive salary range of $170,000 to $216,000 USD, along with opportunities for participation in an annual bonus program and equity incentive plan. You will be part of a mission-driven company that values innovation and collaboration, working alongside some of the brightest minds in the industry. The hybrid work schedule allows for flexibility, enabling you to balance your professional and personal life while contributing to groundbreaking advancements in autonomous driving technology.

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