Senior Software Engineer, Perception, VLM Foundation

Posted Yesterday
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2 Locations
192K-243K Annually
Senior level
Automotive
The Role
In this role, you will develop and deploy deep learning models, focusing on vision language models for autonomous driving applications. Responsibilities include working on model phases from data mining to deployment, and collaborating with research teams across Alphabet.
Summary Generated by Built In

Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

Semantics Foundation is a model platform team in Waymo Perception, and we build model platforms for other problem domain teams to use for addressing production issues. In this role, you will work on VLM for driving focusing on model pre-training, fine-tuning, and post-training, for Waymo applications.

You will report to the Technical Lead Manager of Semantics Foundation.

You will:

  • Develop and deploy deep learning models, including vision language models (VLMs) and large language models (LLMs)
  • Explore leveraging VLM's world knowledge and reasoning capabilities to improve various driving tasks
  • Work on different phases of model development from data mining, training and eval, and deploy the models on the autonomous vehicles
  • Collaborate and work in partnership with research teams across Alphabet


You have:

  • BS degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 6+ years of industry or research experience with deep Learning, VLM/LLMs, and/or computer vision
  • 6+ years of experience with Python
  • Hands-on experience with deep learning frameworks such as Jax, PyTorch, Tensorflow


We prefer:

  • Experience with training large VLM/LLMs with distributed training
  • Experience with model optimization
  • Experience of modeling with real-world sensor data (cameras, LIDAR, radars)
  • Publications on top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, ICLR, AAAI, IJCV, PAMI
  • Experience with C++

#LI-hybrid

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. 

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. 

Salary Range

$192,000$243,000 USD

Top Skills

C++
Python
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The Company
Mountain View, CA
2,359 Employees
On-site Workplace
Year Founded: 2009

What We Do

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.

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