Staff Technical Lead Manager, ML Sensor Validation

Waymo; San Francisco, Mountain View (CA, CA); On-site; USD 238,000 - 302,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Equity incentive plan

Generous Company benefits program

Job summary

An innovative autonomous driving technology company is seeking an experienced professional to lead a team of ML engineers in sensor anomaly detection and calibration. This hybrid role involves owning the entire sensor validation stack and driving collaborations across various teams. Candidates should have an MS in relevant fields and extensive experience in machine learning and robotics, along with strong leadership skills. The position offers a competitive salary range between $238,000 and $302,000 USD, depending on qualifications and location.

Qualifications

• 6+ years of experience in designing, training, and deploying ML-driven real-time robotics systems.
• 4+ years leading technical teams and setting technical directions.
• 2+ years of people management experience.

Responsibilities

• Lead and build a team of ML engineers for sensing anomaly detection and calibration.
• Build a data flywheel for generating training data for sensor degradation events.
• Own the entire sensor validation stack end to end.
• Accelerate collaborations between perception, engineering, and Alphabet teams.

Skills

Machine Learning

Robotics

Data Analytics

Team Leadership

Education

MS in Computer Science, Robotics, Math, Physics

PhD in relevant fields

Tools

LiDAR

Radar

Cameras

Job description

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 Perception Team at Waymo builds the system that "sees" the world around the self‑driving car. We conduct novel research to address real‑world perception problems and collaborate with research teams at Alphabet. Here at Waymo, we have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale. Improvements deployed to our system can immediately advance our large fleet of autonomous vehicles.

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