Rhoda AI jobs

Senior Mechanical Design Engineer- Robot Cladding & A-Class Surfaces Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. Senior Mechanical Design Engineer - Robot Cladding & A-Class Surfaces What to Expect As a Senior Engineer, you will own the full product lifecycle of our robot's Class-A surfaces that define its appearance and protect its core. Robots are high performance multiaxial kinematic systems where heavy-duty structural integrity meets sub millimeter precision. In this role, you are the CEO of your components. You will navigate a diverse landscape of materials (e.g., textiles, polymers, and composites), interfacing with cross-functional teams to ensure our products are functional, reliable, robust, and well-crafted. We operate as T-shaped engineers. While you must be a generalist capable of solving any hardware challenge, your superpower for this role must be thin-walled component design and industrialization from concept to mass production. What You'll Do - End-to-End Ownership: Manage the product lifecycle from initial concept and design studio interaction to end-of-life, ensuring feasibility, sustainability, and craftsmanship.

Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for an Inference Optimization MLE to help build and operate the systems that make our foundation models run fast and efficiently in production. You'll be responsible for squeezing maximum performance out of large multimodal models, across cloud and on-robot deployment targets. You will working closely with research and robotics teams to close the gap between training and real-world deployment. What You'll Do - Own inference performance end-to-end - diagnose and improve latency, throughput, and efficiency of large foundation models in production - Build systematic performance attribution: latency decomposition (compute vs. memory bandwidth vs. I/O), bottleneck identification, and prioritization across model families - Apply and develop optimization techniques including quantization, pruning, distillation, operator fusion, and model compilation (e.g., TensorRT, torch.compile, XLA) - Optimize attention mechanisms, KV caching, and memory layouts for large multimodal models (vision, video, language, proprioception) - Work with kernel-level tooling (e.g., CUDA, Triton) to identify hotspots

Staff Electrical Engineer (Sensors & Imaging Systems) Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We are seeking a Staff or Principal Member of Technical Staff (MTS) - Electrical to lead the architecture, design, and technical execution of advanced multi-sensor imaging and perception systems. This is a senior individual-contributor role for an electrical engineer with deep, hands-on expertise across camera and imaging pipelines, depth and ranging sensors (ToF, Radar, LiDAR), thermal imaging, and the surrounding electrical and signal-integrity considerations that make these systems work in production. The successful candidate will set the technical direction for sensor selection, integration, and validation; partner closely with optics, mechanical, firmware, ML, and systems teams; and serve as a recognized technical authority across the organization. This role is ideal for an engineer who has taken multiple sensor-driven products from concept to volume production and is energized by solving hard, cross-disciplinary problems. Key Responsibilities - Architect end-to-end imaging and sensing subsystems , including camera selection, optics interface, illumination,

Applied Research Scientist / Engineer - Deployment Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Applied Research Scientists and Research Engineers to take our foundation world models and adapt them for specific customer applications and industry use cases. We hire across levels - from senior/MTS to staff. This is a customer-facing role at the intersection of research and deployment - you'll work directly with partners and end users to understand their needs, translate them into model adaptations, and deliver measurable improvements in real-world settings across industries like logistics, manufacturing, and beyond. What You'll Do - Work directly with customers and partners to understand application requirements and translate them into concrete model adaptation strategies - Fine-tune and adapt our foundation world models for domain-specific tasks, environments, and operational constraints - Design and run targeted experiments to evaluate model performance against customer-defined success criteria - Build application-specific evaluation benchmarks and testing frameworks to validate model behavior in real customer environments - Identify gaps

Senior Actuator Modeling Engineer Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. Senior Actuator Modeling Engineer About the Role: As a Modeling Engineer, you will develop the mathematical foundation that guides actuator design across our robot fleet. You translate the statistical population of real-world use cases our robots encounter into concrete, defensible design decisions: how big the motor should be, how the gear train should be sized, what to cool, what to optimize, and what each attribute is actually worth. Actuators are the meeting point of electromagnetics, thermodynamics, structural mechanics, and tribology - and the design space is vast. Your models are how we navigate it. The simulations, duty cycles, and sensitivity analyses you build will directly shape what gets prototyped, what gets shipped, and what we choose to leave on the table. We operate as T-shaped engineers. You must be a strong generalist across actuator physics, but your superpower for this role is building rigorous, data-driven models that turn ambiguous customer needs into

Research Scientist / Engineer - Dexterous Manipulation Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Scientist or Research Engineer to advance dexterous manipulation - enabling our robots to perform contact-rich, fine-motor tasks that require precision, physical reasoning, and adaptability to novel objects and environments. What You'll Do - Research and develop learning-based approaches for dexterous and contact-rich manipulation tasks - Design training strategies and data collection protocols for fine-motor and multi-finger manipulation - Work on perception for manipulation: contact detection, tactile sensing, object pose estimation, and spatial reasoning - Build and evaluate policies that generalize to novel objects and unstructured environments - Develop simulation environments and benchmarks for dexterous manipulation research - Collaborate with robot hardware, perception, and learning teams to close the sim-to-real gap - Publish and present work at top-tier robotics and ML venues (especially valued for RS track) What We're Looking For - Strong background in robot learning, manipulation, or physical AI - Hands-on

Research Scientist / Engineer - Training Systems Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Staff / Principal ML Training Systems Engineer to own training systems performance end-to-end. You will define how our models train at scale - driving efficiency, scalability, and correctness across large-scale multimodal training. This is a core systems role, not infrastructure support. Your work directly determines how efficiently we use compute, how well models scale across thousands of GPUs, and how quickly research can iterate. What You'll Do Own training performance end-to-end - Diagnose and improve performance of large-scale multimodal training (vision, video, proprioception, actions, language) - Build systematic performance attribution: step-time decomposition (compute vs communication vs input pipeline), scaling curves across cluster sizes, and bottleneck identification and prioritization - Drive measurable gains in: - Distributed efficiency (comm/compute overlap, bucketization, topology-aware mapping, parallelism strategies) - Compute efficiency (kernel hotspots, operator fusion, attention optimization, framework/runtime overhead) - Memory efficiency (activation checkpointing, sequence packing/bucketing, fragmentation reduction)

Research Scientist / Engineer - Pre-training Data & Evaluation Palo Alto, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for Research Scientists and Research Engineers to build the data and evaluation foundations for our video action model. This team owns web-scale video data curation, annotation pipelines, and evaluation methodology - directly determining the quality of the video pretraining distribution and how clearly we can measure model progress. We hire across levels - from MTS-Staff What You'll Do - Design and implement scalable curation pipelines for web-scale video pretraining data: ingestion, deduplication, quality filtering, and content classification across internet-scale video corpora - Develop video-specific annotation frameworks and quality filters - motion quality, scene diversity, action content, temporal coherence - to improve pretraining signal - Build evaluation frameworks and benchmarks to measure causal video model capabilities: prediction quality, temporal coherence, long-horizon rollout fidelity, and downstream robot task performance - Research and implement data selection, mixing, and weighting strategies that improve video generation quality and transfer to

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AI Application Architect - AI, ML, GenAI, GCP, IBM Watsonx, Vertex AI, Python, MLOps CHENNAI, India Job Summary. We are seeking an accomplished AI Application Architect to join our AI Acceleration teams and play a pivotal role in designing and delivering enterprise-scale AI and Generative AI (GenAI)...

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Lead AI & Agentic AI Architect (AI Squad Leader) Valbonne (KFR51693) posted: Posted 30+ Days Ago

Principal AI Compute SA, AGS Namer Tech San Francisco, California, USA Are you passionate about Machine Learning (ML), Deep Learning, Artificial Intelligence (AI), Generative AI, and Agentic AI? Are you energized by the opportunity to drive production usage of ML and AI at scale? We'd love to hear from you. ML and AI, especially Generative AI and Agentic AI, are rapidly transforming how we work and live. We're witnessing the impact of Generative AI creating everything from code to content, while Agentic AI systems are autonomously solving complex business challenges. From home automation and mobile apps to financial trading and shipping logistics, AI is reshaping every industry. Given the computational scale required for developing AI models, particularly large language models and autonomous agents, the cloud is an ideal environment for deploying AI models, and Amazon Web Services (AWS) leads this space. We're seeking someone who is passionate about AI's potential to help customers understand how it can transform their businesses. As an AI/ML Specialist Solutions Architect (SA), you will serve as a Subject Matter Expert for designing scalable, secure, and cost-effective AI/ML, Generative AI, and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be important in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while defining robust governance frameworks and secure AI pipelines that scale efficiently. As

AI Integrator / AI Engineer Prague, Praha, Czechia Join our team as an AI Engineer to design and implement cutting-edge AI solutions that drive business transformation. Collaborate with cross-functional teams to deliver scalable, secure applications and accelerate enterprise AI adoption. If you're passionate about AI and ready to make an impact, we want to hear from you!

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MTS1, AI Engineer- Agentic AI Platform Tokyo, Tokyo, Japan Join our team as a Senior Backend Engineer - AI Platform and lead the design of scalable, AI-driven workflows at eBay. Drive architectural strategy, mentor engineers, and shape the future of agentic AI platforms. If you excel in backend systems, cloud infrastructure, and AI integration, this is your opportunity to make a global impact.