2026 Summer Intern, MS/PhD, Low-bit Model Quantization

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.