Waymo

Waymo is an autonomous driving technology company building the Waymo Driver and operating Waymo One, its fully autonomous ride-hailing service.

Autonomous vehicles, robotics, AI, ride-hailing / mobility tech

Mobility tech

Founded 2009

$21600M raised

73 open positions

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Senior Machine Learning Infrastructure Engineer, Simulation

1 week, 3 days ago

United States

Full-time

Senior

Machine Learning Engineer

Software Development

PyTorch TensorFlow

Apply Now

Waymo

Waymo is an autonomous driving technology company building the Waymo Driver and operating Waymo One, its fully autonomous ride-hailing service.

Autonomous vehicles, robotics, AI, ride-hailing / mobility tech

Founded 2009

$21600M raised

View All Jobs 73

Description

Provide technical leadership on large-scale machine learning model architectures for autonomous vehicle systems.
Design and scale distributed infrastructure across the ML lifecycle, including planet-scale dataset generation and model training.
Collaborate with Google DeepMind, Waymo Realism Modeling, and Waymo Oxford teams to improve simulation realism.
Work at the intersection of data engineering, model development, and deployment to guide architectural decisions and technical direction.
Translate product and business goals into measurable technical requirements and system-level deliverables.
Own large, complex systems and drive architectures that meet technical and business objectives.
Mentor junior engineers and help foster a collaborative engineering culture.

Requirements

BS in Computer Science, Robotics, a similar technical field, or equivalent practical experience.
5+ years of professional software engineering experience.
At least 3 years of experience in machine learning infrastructure, including developing, scaling, training, deploying, and optimizing large-scale machine learning systems from data to model.
Preferred: 10+ years of professional software engineering experience.
Preferred: At least 5 years of experience in machine learning infrastructure.
Preferred: Experience with DeepSpeed, PyTorch, TensorFlow, or similar machine learning frameworks.
Preferred: Strong expertise in distributed training techniques, including gradient sharding and optimization strategies.
Preferred: Experience using ML accelerator profiling tools to identify performance bottlenecks.
Preferred: Deep understanding of state-of-the-art models such as auto-regressive transformers and familiarity with custom kernels for hardware efficiency.
Preferred: Excellent verbal and written communication skills.
Preferred: Practical familiarity with autonomous driving, simulations, and ML accelerators.

Benefits

Base salary range of $213,000 to $263,000 USD.
Eligibility for Waymo’s discretionary annual bonus program.
Eligibility for Waymo’s equity incentive plan.
Access to Waymo’s generous company benefits program, subject to eligibility requirements.

Interested in this position?

Apply directly on the company website

Apply Now

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