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Senior/Staff ML Engineer at Waymo building ultra-realistic 3D/4D world models and generative systems for autonomous vehicle simulation using advanced ML techniques like diffusion models and VLMs.
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…
Senior engineer who leads safety analyses for autonomous vehicle systems, defining hazards, risks, and mitigations while collaborating with engineering and operations teams.
Develops and optimizes low-level Android Automotive software for an in-house vehicle infotainment system, integrating Linux kernels, AOSP, and hardware-specific components.
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.
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.
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.
Technical Program Manager at Waymo plans and executes projects for autonomous driving systems, coordinating engineering, product, and research teams to deploy AI-driven vehicle technology.
Lead the design and development of advanced agentic AI systems for autonomous vehicle evaluation, using LLMs and multi-agent orchestration to automate triage and complex reasoning loops.
Senior ML Engineer builds and deploys computer vision and vision-language models to generate high-fidelity labels for autonomous driving, using deep learning, generative AI, and reinforcement learning at scale.
Designs and builds reliability tools and architectures to prevent, detect, and debug software and hardware issues in autonomous vehicle compute platforms, using C++, CUDA/GPU/TPU, and LLVM/XLA.
Develops and improves machine learning models to generate high-fidelity simulation data for autonomous driving, focusing on realistic agent behavior and sensor accuracy.
A senior machine learning engineer at Waymo optimizes generative models and simulations for autonomous driving, focusing on performance, efficiency, and scalability using advanced ML techniques and hardware accelerators.
Build and optimize large-scale C++/Python data pipelines for autonomous-driving simulation, focusing on realistic multi-modal sensor data and robust data lifecycle management.
Leads a team of engineers to build and maintain systems that monitor and diagnose autonomous vehicle fleets across global markets, focusing on Japan’s driving environment and Waymo’s scaling needs.
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Design next-gen SoCs for autonomous vehicles, defining hardware specs and RTL while optimizing performance, power, and latency for Waymo’s compute platform.
On-site IT Security Analyst in Fargo, ND who monitors networks, endpoints, and systems for threats, investigates and responds to incidents, runs vulnerability assessments, and supports HIPAA compliance using SIEM, endpoint protection, firewalls, and IDS/IPS tools. Requires 3+ years in cybersecurity and a relevant degree or equivalent experience.
Own the end-to-end aviation data journey—from e-commerce purchase to cockpit loading—defining requirements for shop.jeppesen.com and Jeppesen Distribution Manager to improve pilot experience.
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