2026 Summer Intern, MS/PhD, ML Compute, Hardware Engineer

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:

• Design a hardware-friendly algorithm for compressing activations, weights and instructions in an ML accelerator
• Develop a proof-of-concept hardware implementation of the compressor-decompressor
• Study trade-offs between hardware complexity, performance, compression loss
• Collaborate with ML model owners to estimate impact of compression on model quality

You have:

• Enrolled in a Masters program in Electrical Engineering, Computer Engineering or equivalent
• Strong understanding of computer architecture for domain-specific accelerators
• Strong programming skills in C++ and/or Python
• Proficiency in digital design using High-level synthesis, SystemVerilog or similar languages

We prefer:

• Enrolled in a PhD program in Electrical Engineering, Computer Engineering or equivalent
• Understanding of ML numerics, error analysis and model quality evaluations
• Experience with domain-specific languages for hardware design (Eg. Chisel, Magma etc.)
• Familiarity with high-level architectural simulators such as Gem5

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.