Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Leads the architecture and development of Waymo's iOS app, focusing on modular, performant SwiftUI/Swift codebases, networking, and user-facing features for autonomous ride-hailing services.
Builds and scales machine learning infrastructure for autonomous vehicle perception systems, focusing on data flywheels, model training, and performance evaluation using large-scale real-world driving data.
Leads development of deep learning and generative AI models to evaluate and improve Waymo’s autonomous driving systems, using large-scale data and ML frameworks like TensorFlow and PyTorch.
Develops and optimizes machine learning models for autonomous vehicle perception systems, using large-scale sensor data and frameworks like PyTorch or JAX.
Build ultra-realistic autonomous-vehicle simulations using large foundation models to train and evaluate Waymo’s self-driving AI in London, collaborating with teams in Mountain View and Oxford.
Leads the design and implementation of evaluation systems for large vision and language models used in autonomous driving, building benchmarks to assess model quality, safety, and realism.
Leads the design and scaling of AI/ML infrastructure for billion-parameter foundation models used in ultra-realistic autonomous-driving simulations, collaborating with research teams to improve simulation fidelity.
Builds and scales core infrastructure for Waymo’s autonomous ride-hailing and fleet systems, collaborating across teams to deliver mission-critical tools and services.
Develops and refines algorithms for autonomous vehicle motion planning, ensuring safe and predictable driving behavior in complex real-world scenarios using C++ and data pipelines.
Designs and builds privacy systems for autonomous vehicles, ensuring GDPR compliance through anonymization, data pipelines, and access controls while collaborating with legal and engineering teams.
Staff software engineer on Waymo's Planner Evaluation team, building metrics and signals that measure how well the autonomous driving software performs, using statistics, ML, simulation, and mining of real-world driving logs. Core stack includes C++, Python, SQL, and data processing pipelines in a large codebase.
Staff Software Engineer at Waymo designing and leading evaluation frameworks for autonomous driving simulation, blending C++/Python systems with AI-driven virtual environments to validate realism.
Develops backend systems and APIs to improve autonomous ride-hail services, focusing on rider experience in complex venues and operational data analysis for Waymo’s fleet.
Leads autonomous driving software development and cross-functional teams at Waymo, defining technical roadmaps and managing performance while collaborating on backend (C++, Spanner) and frontend (Angular/React) systems for self-driving vehicles.
Builds and scales C++ backend services for 3D and data visualization tools that stream autonomous driving logs and telemetry to engineers, using high-throughput distributed systems and RPC frameworks.
Designs and validates motion control systems for autonomous vehicles, translating safety goals into technical requirements and analyzing performance data.
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…
Leads cross-functional planning to maximize utilization of autonomous-driving simulation compute resources, balancing trade-offs and driving decisions for Waymo’s global deployment teams.
Leads a team developing machine learning models to evaluate and improve autonomous vehicle behavior using deep learning, Gen AI, and large-scale simulation systems.
We couldn't check your fit for this role — add a CV to your profile to see it next time.