11 дней назад
Senior Software Engineer - Multiverse Staff Software Engineer, Simulator Platform Machine Learning Engineer, Prediction & Planning (Autonomous Driving)
213 000 - 263 000$
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Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Multiverse Staff Software Engineer, Simulator Platform Machine Learning Engineer, Prediction & Planning (Autonomous Driving) (C++/Python/SQL): Building event-insights systems for Waymo's autonomous driving fleet and large-scale simulations with an accent on dynamic clustering, event storage, APIs, and low-latency orchestration. Focus on scaling distributed data pipelines for 100x growth, coordinating human triage and VLM inference, and delivering visualizations that measure Driver performance.
Location: On site in Mountain View, California, United States
Salary: $213,000–$263,000 USD annually, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.
What you will do
- Build a dynamic event-clustering product that produces low-latency clusters for emerging issues in simulation and real-world deployments.
- Design storage systems and pull- and push-based APIs for event access by downstream systems.
- Process updates from human triage and VLM inference to refine existing events.
- Orchestrate interactions with human-triage and large VLM-inference systems reliably and with low latency.
- Partner with UI teams to deliver event insights and visualizations for evaluating Waymo Driver performance.
- Collaborate with metrics, systems engineering, data science, infrastructure, product, and SRE teams.
Requirements
- 5+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience.
- Proficiency in C++.
- Familiarity with Python and SQL.
- Interest in autonomous driving, simulation, and evaluation.
- Ability to develop reliable systems for large-scale data processing and production monitoring.
Nice to have
- 7+ years of industry experience or 3+ years of postdoctoral experience in quantitative- or quality-focused engineering.
- Technical leadership experience involving hypotheses, experiments, data processing, conclusions, and production-system stability.
- Bachelor's degree in Computer Science.
- Experience with FAANG-scale distributed systems.
Culture & Benefits
- Work with teams supporting autonomous driving deployments across real-world and virtual environments.
- Participate in systems designed to scale with rapid business expansion and improve detection timeliness and coverage.
- Eligibility for a discretionary annual bonus program and equity incentive plan.
- Company benefits are available subject to eligibility requirements.
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