You will lead strategic technical programs across engineering and operational functions to drive product launches and tooling improvements. Additionally, you will manage cross-project dependencies, mentor a team of specialists, and implement automated solutions to enhance operational efficiency.
The role involves leading advocacy and relationship-building with California state and local officials to preserve operational freedom for autonomous driving technology. It also requires translating legislative developments into actionable guidance for internal teams including Legal, Communications, and Product.
The Senior Software Engineer will design and implement measures to increase the efficiency and decrease the cost of Fleet Response operations. They will also partner with cross-functional teams to optimize operational workflows and improve regression-detection for system changes.
You will train, evaluate, and deploy production machine learning models to detect rider risk and prevent payment fraud in real time. Additionally, you will build and maintain high-throughput, low-latency infrastructure to support critical trip creation and payment authorization paths.
You will drive large-scale technical operations programs and partner with cross-functional teams to operationalize regulatory reporting requirements. Additionally, you will lead workflow transformation efforts and collaborate with engineering to deploy machine learning and AI tools for improved issue detection.
You will drive the strategy and technical implementation of complex safety triage workflows while partnering with engineering to deploy machine learning and generative AI models. Additionally, you will serve as a subject matter expert for human-in-the-loop systems and define policies to support the organization's scaling needs.
Lead and mentor a high-caliber engineering team to architect and evolve the Fleet Orchestration Core systems. Drive the technical vision and strategy for the centralized platform managing offboard driving behavior for Waymo's autonomous fleet.
Lead the end-to-end ML data lifecycle, including mining, curation, and the development of scalable labeling policies for autonomous vehicle domains. Orchestrate cross-functional programs to design evaluation frameworks and metrics that drive model performance and ROI.
Lead the architectural design and development of Agentic AI components and scalable workflows to automate event triage for the Waymo Driver. Collaborate with cross-functional teams to integrate autonomous agents into the evaluation lifecycle and drive the technical roadmap.
Lead the Enterprise Outsourcing & Services vertical to design and scale Waymo's global external workforce architecture across Engineering, Operations, and Corporate functions. Manage a $100M+ portfolio, cultivating strategic supplier alliances and implementing outcome-based commercial models.
Lead technical efforts and define roadmaps while collaborating across cross-functional teams including PM, UX, and legal. Manage people and drive the completion of complex engineering efforts for autonomous driving technology.
Design and optimize VLM/LLM model architectures to align with hardware constraints for on-device use cases. Collaborate with research, software, and hardware teams to deliver end-to-end perception solutions for autonomous driving.
Lead the software architecture and infrastructure for onboard model consolidation across various subsystems in autonomous driving. Design frameworks for efficient model integration and inference while aligning data generation between training and production.
Lead the design and deployment of evaluation approaches to assess the realism of multimodal world models and generative systems. Architect scalable machine learning pipelines and discriminator models to improve simulator realism for autonomous driving.
Own the C++ server infrastructure and concurrent data streaming pipelines for the Webviz platform. Design abstractions to process fleet logs and build APIs for automated evaluation pipelines to analyze driving data.
Lead the Enterprise Outsourcing & Services vertical to define the future of work by leveraging global external ecosystems for engineering and hardware scaling. Develop procurement strategies for R&D hardware and engineering services while managing complex contracts and vendor relationships.
Design and optimize large-scale continual pre-training pipelines for VLM foundation models. Conduct research on integrating multimodal data streams and develop metrics to evaluate model performance in autonomous driving contexts.
Partner with Engineering to deploy ML and Gen-AI tools for issue discovery and quality assurance of the Waymo Driver. Define technical policies and SOPs to integrate AI insights into vendor workflows and operational execution.
Partner with Engineering to deploy ML and Gen-AI tools for issue discovery and quality assurance of the Waymo Driver. Define technical policies and SOPs to integrate AI insights into vendor workflows and operational execution.
Partner with Engineering to deploy ML and Gen-AI tools for issue discovery and quality assurance in autonomous driving. Define technical policies and SOPs to integrate AI insights into vendor workflows and operational execution.
Develop importance sampling techniques and machine learning models to maximize the statistical efficiency of discovery pipelines for rare autonomous driving events. Collaborate with cross-functional teams to deliver evaluation products and maintain high code health standards in a complex codebase.
Lead the ML Evaluation team to define the strategic vision for evaluation platforms and infrastructure. Manage and mentor engineers while collaborating cross-functionally to validate next-generation deep neural networks.
Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering and product teams to solve ambiguous data problems and facilitate deployment readiness.
Develop evaluation frameworks and metrics to ensure the safety and quality of autonomous vehicle performance and simulation. Collaborate with engineering teams to solve ambiguous problems and communicate data-driven conclusions to senior stakeholders.
Design and optimize Angular applications to build mission-critical tools for Waymo's Fleet Monitoring systems. Collaborate with Product and UX teams to develop internal user-facing products and scalable platform functionalities.
Implement and scale Waymo's core dynamic pricing engine using ML models and optimization algorithms to balance supply and demand. Build infrastructure for pricing experimentation and monitoring to maximize fleet profitability and service competitiveness.
Implement and scale the core economic engine for ride-hailing services, focusing on pricing, matching, and positioning. Develop infrastructure for automatically training and deploying sophisticated ML and optimization models.
The role involves partnering with engineering teams to design and deploy machine learning models for issue detection and quality assurance. Additionally, it includes developing data-driven strategies and ensuring the integration of AI tools into operational workflows.
You will partner with Engineering to design, test, and deploy cutting-edge Machine Learning and Generative AI models to improve issue discovery and quality assurance. Additionally, you will serve as the key link between AI/ML development and operational execution, defining new policies and quality control processes.
