Senior Software Engineer, Post-Training & RL Frameworks

Full Timesenior

Mountain View, CaliforniaPosted 27 days ago

Role Overview

Waymo is hiring a Senior Software Engineer, Post-Training & RL Frameworks. This is a full-time role in Mountain View, California. Part of Waymo's Lifecycle hiring, posted 3 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Lifecycle roles is $140k-$187k (based on 255 comparable listings). Many employers share specifics during the interview process or after an initial screen.

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Job description

Waymo 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.

The Waymo ML Frameworks & Efficiency team partners with Research and Production teams across Waymo to develop models in Perception and Planning that are core to our autonomous driving software. We help our partners by offering the best frameworks for the entire model development lifecycle, including pre-training and post-training. They are geared towards both scaling models with efficiency and solving problems unique to ML for autonomous driving.

We are looking for engineers with ML system expertise to help us train and improve pre-trained models to be deployed into Waymo Driver, and potential future products. You'll work with researchers and modeling engineers across the company, and solve the challenges of large-scale reinforcement learning (RL), building systems that can scale across compute, data, and environments to improve model intelligence and understanding of human drivers.

You Will:

Report into the Head of ML Frameworks & Efficiency
Develop the core training system for adapting RL techniques to unprecedented scales and heterogeneous environments (i.e. CPU/GPU/TPU).
Collaborate with teams to integrate the latest rollout strategies, policies, and RL algorithms (i.e. REINFORCE, DPO, PPO) into the system.
Improve the end-to-end RL training pipeline for efficient and scalable learners/actors, and low-latency distributed reply buffers for persisting data produced by the rollouts.
Build evaluations, analyze experimental results and iterate quickly to improve model performance and training workflows.
Stay current with the latest research in RL, Vision-Language-Action (VLA) models, and World models to inform and inspire new programs.

You Have:

B.S. in Computer Science, Math, or 8+ years equivalent real-world experience.
Proficient in distributed systems design with an understanding of ML efficiency.
Experience with ML frameworks, including TensorFlow, JAX, XLA.
Solid programming skills in Python and C++.
Practical familiarity with profiling tools to uncover performance bottlenecks.

We Prefer:

MS in Computer Science, Math

Familiarity with post-training frameworks like TS/REX, Tunix, TorchRL, TRL.

#LI-Hybrid

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$204,000—$259,000 USD

About Waymo

Waymo

waymo.com

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Frequently Asked Questions

How do I apply for the Senior Software Engineer, Post-Training & RL Frameworks position at Waymo?

Use the Apply button above to submit your application directly to Waymo. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Software Engineer, Post-Training & RL Frameworks position at Waymo located?

This position is based in Mountain View, California. Waymo has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Software Engineer, Post-Training & RL Frameworks at Waymo earn?

Waymo has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Software Engineer, Post-Training & RL Frameworks role at Waymo posted?

This role was posted on June 26, 2026 (27 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Software Engineer, Post-Training & RL Frameworks role at Waymo require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Waymo lists their specific requirements in the description below, so review the must-have qualifications closely before applying.