Job Description

Waymo is an autonomous driving technology company with the mission to be the world's 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's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The ML Model Optimization team at Waymo is the core technology team who build and improve highly efficient algorithms and systems that are used across Waymo's ML models, including Perception, Planner, Foundation Models and Simulation. We work closely with model teams and product teams to apply state of the art ML optimization solutions to achieve the best computation speed and efficiency on multiple hardware accelerator platforms.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

• Implement SOTA low-bit quantization techniques
• Incorporate quantized kernels into models and evaluate performance
• Communicate with model owners to understand requirements and expectations

You have:

• Enrolled in a Masters or PhD program in Computer Science, Robotics, or a similar technical field of study.
• Experience with ML frameworks such as JAX or PyTorch
• Deep knowledge of quantization techniques and familiarity with SOTA literature
• Experience with Transformer-based models.

We prefer:

• Experience with Triton or other kernel languages
• Familiarity with CUDA and profiling tools
• Familiarity with quantization frameworks in JAX.

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.

The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly Masters Pay $70—$70 USD The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85—$85 USD

Job Tags

Hourly pay, Full time, Summer internship,

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