Software Engineer, Waymo
Data Scientist, Planner Evaluation
$158-200k
Office located in Mountain View, CA
Autonomous driving technology
Be an early applicant
Autonomous driving technology
1001+ employees
Be an early applicant
$158-200k
Office located in Mountain View, CA
1001+ employees
Company mission
To make it simpler and safer for people to move things and themselves around.
Role
Who you are
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
- Ability o navigate complex systems and pursue open-ended problems to completion
- 3+ years of industry experience with
- Building data processing pipelines
- C++
- Python for modeling and/or statistical computing
- Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
Desirable
- Experience building and/or supporting modern microservice architectures (Kubernetes, AWS: EKS, ECS, ECR, RDS, S3, ALB, SNS, etc, GCP: GKE, Artifact Registry, Cloud Run, Cloud SQL, GCS, ALB, Pub/Sub, etc.)
- Experience building and distributed data processing pipelines (Spark, Beam, Airflow, etc.) and using SQL with large-scale warehouses (Snowflake, RedShift, BigQuery, etc.)
- Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
- Excitement about detailed detective work in service of finding subtle errors
What the job involves
- The Planner Evaluation team works on one of the main challenges in autonomous driving: improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers to help us understand and improve the reliability of Waymo's robotics systems so we can further improve Waymo's safety-first mission. If you are excited about using the large value of rich data to improve the reliability of our software, this is the role for you!
- Develop signals that are precursors to severe reliability issues
- Root cause subtle bugs and help fill gaps between on-road and Simulation issue discovery
- Extend our reliability discovery pipelines to cover new use cases
- Collaborate with engineers in the Simulator, Planner, and Perception teams to solve complex cross-functional problems
- Use ADV hardware to find pernicious and bedeviling bugs
- Drive improvements to issue-discovery-to-fix processes
Our take
Waymo is an autonomous driving technology company that began as the Google self-driving car project in 2009. After initial development, it secured permits to deploy autonomous ride-hailing services in cities including Phoenix and San Francisco, but has recently hit a major bump in the road with safety concerns that resulted in a recall of over 400 self-driving cars.
With the autonomous driving industry already besieged by setbacks and public distrust, this development does Waymo no favours. That said, as an industry leader there remains the possibility it will see out the storm, but massive attention will need to be given to rebuilding trust with consumers if this is to be the case.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Aug 2024
$5.6bn
SERIES C
Jun 2021
$2.5bn
GROWTH EQUITY VC
Total funding: $11.1bn
Company values
- Our customers are at the heart of everything we do
- Safety is our foundation
- We pioneer
- Act with thoughtful urgency
- Respect each other
- Be responsible owners
- We’re stronger together
- Optionality creates opportunities
- Always be learning
- Celebrate progress
Company HQ
Mountain View, CA
Articles
Leadership
Dmitri Dolgov
(Co-CEO, not founder)Former CTO of the company. After a PhD at the University of Michigan, they worked as a Stanford Postdoctoral Researcher before moving to the Toyota Research Institute. They also spent 8 years at Google as a Software Engineer.
Tekedra N. Mawakana
(Co-CEO, not founder)Has worked at Waymo since 2017, as Global Head of Policy then CXO then COO before becoming Co-CEO. They are on the Board of Advisors at Operator Collective, Board of Directors at Intuit, and an Advisor for Boom Supersonic.
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