Technical Lead Manager, Machine Learning, Maneuvering Tech
Waymo is hiring a Technical Lead Manager, Machine Learning, Maneuvering Tech in Mountain View and San Francisco, United States. It pays $238k-$302k a year and Level rates it ; you can apply on Waymo.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classes it as a lead role.
- Waymo has 364 other open roles on Level.
AI in this role
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.
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.
In this hybrid role you will report to a Technical Lead Manager, Senior Staff Engineer.
You will:
- Provide technical leadership for onboard motion planning systems that improve low-speed maneuvering performance
- Improve evaluation capabilities to better understand on-road performance
- Provide mentorship for junior engineers on the team
- Investigate driving behavior issues from logs and understand the root cause
- Develop foundational frameworks that help advancement of the Waymo Driver's capabilities
- Directly contribute to solving some of the most challenging driving situations in the long tail.
You have:
- MS/PHD in Computer Science, ML, Robotics, similar technical field of study, or 4+ years of equivalent practical experience
- General software engineering experience programming in C++ with robust and efficient code
- Ability to collaborate within and across teams
- 1+ year of management experience years with 5+ reports
We prefer:
- AV or Robotics experience
- Experience with Machine Learning models in production systems
- Experience in graph search, optimization, or path planning algorithms
- 8+ years of Software Engineering experience in complex systems
- Coding proficiency in Python and SQL
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$238,000—$302,000 USDHow we rate this
Technical Lead Manager, Machine Learning, Maneuvering Tech at Waymo rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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