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Staff Software Engineer on Google Cloud's AI/ML team, leading design and optimization of large-scale ML infrastructure, model deployment, and data processing strategies for Vertex AI and related platforms.
Develops advanced generative AI models (e.g., diffusion, flow matching) for autonomous vehicle planning, optimizing for safety, efficiency, and real-world deployment. Focuses on end-to-end model lifecycle, including research, productization, and collaboration with engineering teams.
Develop and implement Python-based metrics to evaluate the end-to-end driving behavior of Nuro's Level 4 autonomous vehicle platform, collaborating across Systems, Simulation, Behavior, and Product teams to validate safety for deployment.
Build and scale the data platform powering Nuro's autonomous vehicle evaluation—designing batch/streaming data pipelines, storage systems, and dashboards using Python, C++, and GCP tools.
Builds and maintains a scalable, fault-tolerant labeling platform for autonomous driving data, integrating ML-driven workflows and annotation tools to ensure high-quality sensor data for Nuro’s Level 4 autonomy systems.
Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the…
Builds and maintains the core infrastructure that powers Nuro’s autonomous vehicle systems, including data platforms, simulation tools, and distributed compute/storage services using Python, C++, or Go.
Nuro is seeking a Staff or Senior Software Engineer to build and optimize the onboard infrastructure, performance, or device platforms for their autonomous driving technology. The role involves working with C++ to develop high-performance, reliable systems that integrate hardware and software for self-driving vehicles.
Architect and build scalable ML data pipelines, tooling, and active learning systems that transform petabyte-scale autonomy data into training signals for self-driving AI models, using C++ and Python.
Build and scale routing services for Nuro’s autonomous vehicles, optimizing algorithms, microservices, and traffic systems to deliver safe, efficient journeys.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model compression, deployment, and performance improvements (e.g., quantization, distillation) to enhance real-world autonomy.
Develop synthetic sensor simulation models and algorithms using ML techniques like NeRF and Gaussian splatting to generate photorealistic images and realistic lidar/radar data for autonomous vehicles. Work with Python, PyTorch/TensorFlow/Jax, and collaborate across autonomy and infrastructure teams to improve sensor data realism and utility.
Senior/Staff Controls Engineer designs and deploys production-level control software for Level 4 autonomous driving vehicles, translating planned trajectories into safe, precise motions across varied conditions.
Build and operate the AI agent infrastructure that automates engineering tasks at Nuro, including closed-loop evaluation, agent platform, and autoresearch systems for autonomous driving.
Lead the Behavior & Planning team at Nuro to design, train, and deploy ML models for autonomous driving, turning real-world data into safe, natural driving behavior across robotaxis, logistics fleets, and personal vehicles.
Build and maintain ML infrastructure for autonomous driving, including pipelines, inference platforms, and compilers to deploy models on Nuro’s fleet of self-driving robots.
Staff+ engineer owning the AI foundation at Aleph's AI-native FP&A platform: model routing, proxy layers, eval infrastructure, and agentic features built on LLMs and agent frameworks.
Designs and leads the technical architecture for Attentive's onsite customer growth platform, building scalable backend services and APIs that power personalized website experiences to convert visitors into subscribers and customers.
Build the evaluation/judgement layer for AI agent trajectories at Moveworks/ServiceNow — designing LLM judges, rubrics, calibration loops, and process reward models so that evaluation scores can be used as training signals. Core tech: LLMs, Python, fine-tuning, reward modeling.
Staff Interaction Designer for Google Vids, an AI-powered video creation tool within Google Workspace, responsible for designing user flows, prototypes, and design strategies that integrate generative video and recording workflows.
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