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Waymo

2027 Summer Intern, MS/PhD, Sensor Performance Engineer Intern

Posted 7 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
70-70 Annually
Internship
In-Office
Mountain View, CA, USA
70-70 Annually
Internship
Conduct sensor data analysis, design and execute hardware validation experiments, develop performance metrics, improve operational processes, and collaborate with cross-functional teams. The role focuses on automotive LiDAR and perception hardware, requiring experimental design, system prototyping, performance evaluation, and technical scripting with Python and SQL. Preferred experience includes signal processing, algorithm design, and sensing systems such as LiDAR, radar, and cameras.
The summary above was generated by AI

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 Waymo Laser team is a diverse, innovative, and collaborative group of electrical, mechanical, optical and software engineers. We design, build and perfect our cutting edge automotive lidars, and evaluate the lidars that are on the market, and integrate them into Waymo products.

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:

  • Sensor Data Analysis: Process and analyze complex sensor datasets to extract key insights.

  • Experimental Setup: Design and execute rigorous experiments for validation and testing.

  • Performance Engineering: Develop robust performance metrics and streamline operational processes.

  • Stakeholder Collaboration: Partner effectively with cross-functional teams to align project goals.

You have:

  • Currently enrolled in an MS or PhD program in Electrical Engineering, Physics, Computer Science, or a related field.

  • Hardware Experimentation: EE or physics-based experimental design

  • System Prototyping: Modeling and rapid prototyping of complex hardware

  • Data Analysis: Evaluating performance metrics and experimental results

  • Technical Scripting: Automation using Python, SQL, and scripting


We prefer:

  • Signal Processing: Advanced filtering, algorithm design, and data extraction

  • Sensing Systems: Experience with LiDAR, radar, camera, and general perception hardware

  • Technical Communication: Clear presentation of complex concepts to cross-functional teams


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
HQ

Waymo Mountain View, California, USA Office

1600 Amphitheatre Pkwy, Mountain View, CA, United States, 94043

Waymo San Francisco, California, USA Office

San Francisco, United States

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