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      "description_excerpt": "Senior Electrical Engineer- Power Management 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. The Role We're building hardware that pushes the limits of what's possible - and power is at the heart of it. We're looking for a power management wizard to own the design of the systems that keep everything running: from the tiniest LDO to the battery pack powering the whole thing. You won't be a cog in a giant org. You'll own real problems end-to-end, ship fast, and have your fingerprints all over the product. If you love getting your hands dirty in the lab, debating topologies on a whiteboard, and bringing up brand-new boards at 11pm because you can't wait to see it work - let's talk. What You'll Do - Architect power solutions from scratch - LDOs, buck/boost converters, PMICs, the whole stack. - Tame multi-rail systems with bulletproof power sequencing. - Wire it all together over I2C, SPI, and CAN. - Design Battery Management Systems and chargers that",
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            "description": "<p>Research Scientist / Engineer - Post-training &amp; Robot Learning at Rhoda AI - Mountain View, Mountain View,, California, United States - Research Scientist / Engineer - Post-training &amp; Robot Learning Mountain View, Mountain View,, California, United States At Rhoda AI, we&#39;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&#39;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&#39;re looking for Research Scientists and Research Engineers with deep robotics or autonomous systems domain knowledge to adapt our web-pretrained video model to real robot tasks. Post-training at Rhoda means taking a causal video generation model pretrained on internet-scale data and fine-tuning it on robot-collected demonstrations to produce reliable, generalizable behavior - with as little task-specific data as possible. We hire across levels - from senior to staff. What You&#39;ll Do - Design and implement RL training pipelines to improve robot policy performance beyond what imitation learning alone achieves - reward design, online data collection, and policy optimization - Develop and apply RL algorithms (PPO, GRPO, or similar) adapted to the video prediction setting, including reward modeling and feedback collection strategies for physical task performance - Design and implement broader post-training pipelines: supervised fine-tuning, preference optimization, and behavioral alignment on robot-collected demonstration data - Work</p>",
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            "description": "<p>Research Engineer - Training Platform at Rhoda AI - Mountain View, Mountain View,, California, United States - Research Engineer - Training Platform Mountain View, Mountain View,, California, United States At Rhoda AI, we&#39;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&#39;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&#39;re looking for a Research Engineer to build and maintain the training platform that powers our model development - experiment orchestration, job management, observability, and the tooling that lets researchers move from idea to result as fast as possible. What You&#39;ll Do - Build and maintain training orchestration systems for large-scale distributed model training across GPU clusters - Develop experiment management tooling: job configuration, tracking, reproducibility, and artifact management - Build observability infrastructure for training runs: loss curves, compute utilization, gradient statistics, and anomaly detection - Optimize and automate the research iteration loop from experiment launch to results analysis - Manage job scheduling and cluster utilization for efficient use of GPU compute - Build internal tooling and interfaces that help researchers move faster - Collaborate with training systems, data infrastructure, and research teams to support their platform needs What We&#39;re Looking For - Strong software engineering skills with experience</p>",
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            "description": "<p>Research Scientist / Engineer - Training Systems at Rhoda AI - Mountain View, Mountain View,, California, United States - Research Scientist / Engineer - Training Systems Mountain View, Mountain View,, California, United States At Rhoda AI, we&#39;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&#39;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&#39;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&#39;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)</p>",
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            "description": "<p>Robot Controls Engineer at Rhoda AI - Mountain View, Mountain View,, California, United States - Robot Controls Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we&#39;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&#39;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&#39;re looking for a Robot Control Engineer to develop and maintain the control systems that run on our humanoid robots. You&#39;ll own the software that connects hardware to behavior - from low-level control loops and actuator interfaces to state estimation and real-world deployment. What You&#39;ll Do - Develop and maintain onboard control software including control loops, state estimation, and actuator interfaces - Implement and tune motion planning and control systems - including whole-body control, trajectory optimization, or model predictive control - Collaborate with the AI/ML team to integrate learned control policies onto real hardware reliably and efficiently - Contribute to system reliability, fault detection, and recovery logic for robust real-world operation - Work directly with prototype hardware, debugging discrepancies between simulated and real behavior and iterating on both - Support bring-up and field testing of new hardware revisions What We&#39;re Looking For - 4+ years of experience building control software for</p>",
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            "description": "<p>Robot Perception Engineer at Rhoda AI - Palo Alto, California, United States - Robot Perception Engineer Palo Alto, California, United States At Rhoda AI, we&#39;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&#39;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&#39;re looking for a Robot Perception Engineer to develop and maintain the perception systems that give our humanoid robots a real-time understanding of the world around them. You&#39;ll own the software that transforms raw sensor data into reliable, actionable perception - from sensor integration and calibration to safety-certified object detection and streaming data to our foundation models and teleoperation stack. What You&#39;ll Do - Develop and maintain real-time perception pipelines - integrating and calibrating sensors (cameras, LiDAR, IMUs, depth sensors) with our humanoid robot platforms - Build and optimize object detection, tracking, and scene understanding systems for safe operation in complex, unstructured environments - Own the streaming infrastructure that delivers sensor data reliably to foundation models, teleoperation systems, and onboard control stacks - Work closely with the AI/ML team to bridge perception outputs and learned policy inputs - ensuring low-latency, high-reliability data delivery - Implement and validate safety-certified perception components, including object detection</p>",
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            "description": "<p>Senior Mechanical Design Engineer- Robot Cladding &amp; A-Class Surfaces at Rhoda AI - Palo Alto, California, United States - Senior Mechanical Design Engineer- Robot Cladding &amp; A-Class Surfaces Palo Alto, California, United States At Rhoda AI, we&#39;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&#39;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 &amp; A-Class Surfaces What to Expect As a Senior Engineer, you will own the full product lifecycle of our robot&#39;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&#39;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.</p>",
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            "description": "<p>Systems Integration Technician at Rhoda AI - Mountain View, Mountain View,, California, United States - Systems Integration Technician Mountain View, Mountain View,, California, United States At Rhoda AI, we&#39;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&#39;ve raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. You will be part of Rhoda&#39;s hardware integration and maintenance team, supporting activities across our humanoid robot platforms. You will write and edit assembly standards, follow ESD discipline, help with debugging and rework, and ensure that prototypes and tested hardware operate at peak reliability. This role reports to the Technician Lead. What You&#39;ll Do - Develop and maintain standard operating procedures (SOPs) for assembly and repair - Create calibration, alignment, and torque-validation routines - Troubleshoot mechanical and electrical integration issues across humanoid robot subsystems - Manage inventory, tool calibration, and work-area organization - Coordinate failure analysis, rework, and maintenance logs with engineering - Support system-level validation and field-test readiness of prototype robots What We&#39;re Looking For - Technical diploma or Bachelor&#39;s degree in Mechatronics, Robotics, or a related field - 3+ years of hands-on experience in robotics, automation, or precision electromechanical systems - Proven experience within R&amp;D or prototype manufacturing contexts</p>",
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            "description": "<p>Inference Infrastructure Engineer at Rhoda AI - Palo Alto, California, United States - Inference Infrastructure Engineer Palo Alto, California, United States At Rhoda AI, we&#39;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&#39;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&#39;re looking for an Inference Infrastructure Engineer to help build and operate the systems that power our model deployment stack. You&#39;ll be responsible for running large foundation models efficiently and reliably across cloud and on-prem environments, with a focus on resource management, scheduling, and infrastructure scalability. What You&#39;ll Do - Design and operate large-scale infrastructure to run model workloads across cloud and on-prem environments - Build and maintain Kubernetes-based deployment pipelines for managing distributed ML workloads - Own resource scheduling and orchestration across GPU clusters - optimizing utilization, workload balancing, and cost-performance tradeoffs - Integrate and manage ML frameworks and model serving systems (e.g., Triton, Ray Serve, TorchServe) across research and production use cases - Build tooling for model deployment, versioning, and observability to support fast iteration cycles - Contribute to the reliability and scalability of the infrastructure stack as model complexity and deployment footprint grow What We&#39;re Looking For - 3+ years</p>",
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            "description": "<p>Inference Optimization ML Engineer at Rhoda AI - Mountain View, Mountain View,, California, United States - Inference Optimization ML Engineer Mountain View, Mountain View,, California, United States At Rhoda AI, we&#39;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&#39;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&#39;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&#39;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&#39;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</p>",
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