Software Engineer, Machine Learning/AI Accelerator
Waymo · Taipei, Taiwan | Hsinchu, Taiwan · Compute (7LR)
About this role
Waymo is hiring a mid-level Machine Learning Engineer based in Taipei, Taiwan | Hsinchu, Taiwan (hybrid). The posting calls out experience with C, TensorFlow, API Development, Machine Learning and roughly 3+ years of relevant work. Compensation is listed at $2,600,000–$3,150,000 per year.
- Role
- Machine Learning Engineer
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Taipei, Taiwan | Hsinchu, Taiwan
- Work mode
- Hybrid
- Experience
- 3+ years
- Department
- Compute (7LR)
More roles at Waymo
Job description
from Waymo careersWaymo 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.
Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms.