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Logs Infrastructure TLM - Mountain View California
Company: Waymo Location: Mountain View, California
Posted On: 05/03/2024
Logs Infrastructure TLM Mountain View, California, United States Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey. This role will be hybrid in-office and work from home reporting to a Sr. ManagerSoftware 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.The Waymo Logs Data Acquisition team owns the infrastructure for collecting, selecting, and ingesting the data from the autonomous vehicles into the cloud. Some of its responsibilities include: - Onboard logging collection infrastructure, including data formats, APIs, and libraries.
- Data ingestion pipeline, including uploader modules over LTE/Wifi/wired connections, temporary storage, and post-upload data processing infrastructure.
- Offboard components that facilitate onboard data collection and ingestion, including quotas, sampling, and prioritized upload requests.
- Strategy and onboard+offboard infrastructure that maximizes the value of the limited data collected in the face of multiple requirements, physical and budgetary constraints, safety and regulatory requirements. This includes application of novel statistical sampling methods and ML.
- Achieving operational readiness to scale #miles driven by orders of magnitude, including reliability improvements and elimination of overheads that scale linearly with miles.Day-to-day activities and responsibilities may include:
- Lead and manage a team of engineers responsible for developing Waymo Logs & Data Acquisition infrastructure, align with strategy, provide mentorship and career growth opportunities.
- Work in close relationships with partners and stakeholders across Waymo (Simulation, Planner, Perception, Analysis, Release Eval, Onboard Infra, Mapping, Ops, Hardware, Depot Infra, Legal, Product) to build joint strategy and roadmaps.
- Understand and improve the behavior of production systems, including instrumentation, bug fixes, provisioning, and reliability improvements.
- Improve the automation, code health, technical debt and simplify the system.
- Brainstorm, design and build new infrastructure features.
- Provide support for partners and clients.Required experience:
- 8+ years of professional software engineering experience.
- Experience in a people management and team leadership role.
- Experience with large-scale distributed systems.
- Proven track record of driving collaboration effectively across organizational boundaries.
- Good working knowledge of C++.Preferred experience:
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