Waymo

Staff Technical Lead Manager, ML Sensor Validation

Waymo • $238K — $302K *
Manufacturing & Automotive
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS in Computer Science, Robotics, Math, Physics or equivalent industry experience
  • 6+ years of experience in ML-driven real-time robotics systems
  • 4+ years of experience leading technical teams
  • 2+ years of people management experience

Responsibilities

  • Lead and build a team of ML engineers for sensing anomaly detection and calibration
  • Develop a data flywheel for training data on rare sensor degradation events
  • Own the entire sensor validation stack from start to finish
  • Enhance collaboration across perception, system engineering, evaluation, and Alphabet teams

Benefits

  • Eligibility for discretionary annual bonus program
  • Participation in equity incentive plan
  • Access to a generous Company benefits program
Full Job Description
Within Perception, the Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our sensors to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.

In this hybrid remote/in-office role, you will report to a Senior Staff TLM.

You will:
  • Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration
  • Build a data flywheel to automatically generate suitable training data for rare instance sensor degradation events using VLMs
  • Own the entire sensor validation stack end to end
  • Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams

You have:
  • MS in Computer Science, Robotics, Math, Physics or equivalent industry experience
  • 6+ years of experience in designing, training, and deploying ML-driven real-time robotics systems
  • 4+ years of experience leading technical teams and setting technical directions
  • 2+ years of people management experience

We prefer:
  • PhD in Computer Science, Robotics, Math, Physics, or a related technical field
  • Experience in robotics, autonomous systems, or related automotive industries.
  • Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges.
  • Familiarity with early fusion multi modal sensor models and their development challenges
  • Experience with rare instance or zero-shot detection problems


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 USD

About Waymo

Waymo LLC is a self-driving technology development company. It is a subsidiary of Alphabet Inc., the parent company of Google. Waymo develops autonomous driving technology and provides ride-hailing services through its Waymo One program. The company has been testing its self-driving technology on public roads since 2009 and has logged millions of miles of autonomous driving. Waymo has partnerships with several automakers and has been working on developing autonomous trucks for use in logistics.
Learn more about Waymo
Size
2,000 employees
Industry
Founded
2009

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