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Home›Jobs›Waymo›ML Compiler Engineer, Compute
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

ML Compiler Engineer, Compute

Waymo • Bangalore, Karnataka, India

Posted 3w ago🏢 HybridMid-LevelMl compiler engineer📍 Bangalore
Apply Now →

Skills & Technologies

PythonTensorFlowKubernetesDockerC++Machine learningNeural networks

Overview

Waymo is seeking an ML Compiler Engineer to enhance the performance of their autonomous driving technology. You'll work with Python, TensorFlow, and C++ to optimize neural network performance. This role requires experience in machine learning and compiler design.

Job Description

Who you are

You have a strong background in machine learning and compiler design, with experience in optimizing neural networks for performance. Your proficiency in Python and C++ allows you to develop efficient algorithms that enhance the capabilities of autonomous systems. You are familiar with TensorFlow and have worked with containerization technologies like Docker and orchestration tools such as Kubernetes. You thrive in collaborative environments and enjoy working with cross-functional teams to solve complex problems. You are detail-oriented and have a passion for pushing the boundaries of technology in the automotive industry. You understand the importance of performance metrics and are adept at analyzing and improving system efficiency.

Desirable

Experience with high-performance computing and custom silicon design is a plus. Familiarity with the automotive industry and autonomous systems will help you contribute effectively to our mission. You are open to learning new technologies and methodologies that can enhance your work and the team's output.

What you'll do

As an ML Compiler Engineer at Waymo, you will be responsible for maximizing the performance of our neural networks that power the Waymo Driver. You will collaborate with hardware engineers to design and implement system-level compute architectures that meet the demanding performance, power, and latency requirements of autonomous vehicles. Your role will involve developing and optimizing compilers that translate high-level machine learning models into efficient executable code. You will analyze performance bottlenecks and work on solutions that improve the overall efficiency of our compute platform. You will also participate in code reviews and contribute to the continuous improvement of our software development processes. Your work will directly impact the safety and reliability of our autonomous driving technology, making a difference in the lives of many.

What we offer

Waymo provides a competitive salary range of ₹3,400,000—₹4,110,000 INR, along with a discretionary annual bonus program and equity incentive plan. You will have access to generous company benefits, including health insurance and wellness programs. Our team values diversity and encourages collaboration, providing a supportive environment where you can grow your skills and advance your career. We believe in the importance of work-life balance and offer a hybrid work schedule that allows you to work from home while also collaborating with your team in the office. Join us in our mission to revolutionize mobility and make the roads safer for everyone.

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