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Описание вакансии
TL;DR
Principal Software Engineer (AI): Develop sensor-fusion foundation models for autonomous driving with an accent on large-scale multi-modal model training, deployment optimization, and collaboration across AI and perception teams. Focus on solving complex challenges in multi-stage training, model update latency, and integration with large-scale driving data.
Location: Onsite in Mountain View, California, United States
Salary: $332,000–$421,000 USD
Company
Waymo is an autonomous driving technology company focused on building the world's most experienced driver to improve mobility and safety through fully autonomous ride-hail services and vehicle platforms.
What you will do
- Develop sensor-fusion foundation models providing temporal-spatial understanding for autonomous vehicles
- Solve large-scale multi-stage training challenges with millions of miles of driving data under limited labeling budgets
- Develop solutions for frequent model updates minimizing time-to-impact
- Optimize end-to-end latency from model training to deployment
- Drive collaboration between Perception, AI Foundation, Planning, Simulation teams, and Alphabet research groups
Requirements
- Location: Must be onsite in Mountain View, California, United States
- English: B2 or higher proficiency assumed
- Master's or PhD in Computer Science, Engineering, or related field
- 10+ years ML model development experience, including 4+ years with large-scale vision, video, or multi-modal foundation models
- 6+ years in ML-driven production systems and technical leadership roles
- Proficiency in C++, Python, and deep learning frameworks like PyTorch or JAX
Nice to have
- Experience in multi-modal LLM pretraining and fine-tuning
- Experience with model distillation and compute optimization
- Familiarity with end-to-end model development challenges
Culture & Benefits
- Top-notch medical, dental, vision insurance, mental wellness support, and gym membership
- Competitive compensation, bonus, equity, and employee discounts
- Flexible work options including onsite, hybrid, and remote opportunities
- Generous paid time off, bereavement, sick, and parental leave
- Support for families with enhanced paid leave options
- Education reimbursement, professional development, mentorship, and volunteer time
- Access to Google offices, wellness centers, and at-home fitness classes
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