Waymo: ML Compiler Engineer – Compute

🚘 About Waymo

Waymo is an autonomous driving technology company with the mission to become the world’s most trusted driver. Originating as the Google Self-Driving Car Project in 2009, we’ve built the Waymo Driver™—The World’s Most Experienced Driver™, enabling safer and more accessible mobility solutions.

Our technology powers Waymo One, a fully autonomous ride-hailing service, and extends across multiple vehicle platforms and mobility use cases. With tens of millions of real-world miles and tens of billions of simulated miles driven, Waymo continues to set the standard for safe, innovative autonomous driving.

🖥️ About the Compute Team

The Compute Team builds and optimizes the compute platform that runs Waymo’s autonomous vehicle software stack. Our mission includes:

• Designing high-performance custom silicon

• Developing system-level compute architectures that push the limits of power, performance, and latency

• Collaborating across hardware and software teams to deliver one of the world’s most advanced automotive compute platforms

This is a hybrid role reporting to a Software Engineering Manager.

🎯 Role Overview – ML Compiler Engineer

As an ML Compiler Engineer – Compute, you will maximize the performance of neural networks by building, enhancing, and extending our production-grade compiler. This role requires close collaboration with hardware architects and model developers to ensure cutting-edge compiler support for Waymo’s high-performance neural network inference platform.

🔑 Responsibilities

• Enhance and extend the production-grade compiler to maximize neural network performance.

• Implement compiler support for novel features of high-performance architectures.

• Collaborate with hardware architects and ML model developers to optimize inference platforms and neural network workloads.

• Contribute to pushing the boundaries of parallel computing and compiler performance in ML applications.

✅ Basic Qualifications

• Education:

  • BS in Computer Science/Electrical Engineering + 3+ years of experience, OR

  • MS in Computer Science/Electrical Engineering + 1+ years of experience, OR

  • PhD in Computer Science/Electrical Engineering (or equivalent).

• Experience:

  • 1+ years of industry or academic experience with compilers and parallel computing.

  • 1+ years of experience with ML inference or linear algebra computations.

• Skills:

  • Strong C++ programming skills.

⭐ Preferred Qualifications

• Proficiency in Python programming.

• Experience with compilers for neural networks.

• Deep understanding of computer architectures for ML inference.

• Knowledge of neural network performance optimization.

• Familiarity with ML and deep learning algorithms & applications.

💰 Compensation & Benefits

• Salary Range: ₹3,40,000 – ₹4,10,000 INR (based on skills, location, and experience).

• Eligibility for:

  • Annual discretionary bonus program.

  • Equity incentive plan.

  • Comprehensive benefits package.

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