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Training Platform 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 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. 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Dexterity Austin, TX Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of embodied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better. JOB SUMMARY We are seeking a Staff Simulation Engineer to be the sole owner of dexterous hand simulation at Apptronik. This is a high-autonomy, high-impact individual contributor role. You will define how hands are represented in simulation - from contact geometry and physics fidelity all the way through sim-to-real validation - and you will be the authoritative technical voice across Mechanical Design, Controls, and Hardware whenever simulation of the hand is in scope. There is no team beneath you, but your work directly unblocks multiple teams. Core mandate: make simulation a reliable predictor of physical hand behavior, and own that standard end-to-end. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Contact Dynamics & Physics Fidelity: Own the accuracy of contact simulation for high-DOF robotic hands. Model and tune contact parameters - stiffness, damping, friction, restitution - against real hardware measurements. 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Robotics United States - Remote, United States About the Role at RobCo At RobCo, we develop AI-powered robotic systems that make industrial processes more autonomous, efficient, and scalable. Our Autonomous Manufacturing Platform combines modular industrial hardware with physical AI, enabling rapid deployment and continuous optimization in real production environments. With locations in Munich, San Francisco, and Austin, and backed by leading investors such as Lightspeed, Lingotto Innovation, and Sequoia, we are working to redefine industrial automation. At RobCo, we automate the ordinary, so humans can do the extraordinary. To achieve this, we are looking for an ambitious (Senior) Technical Pre-Sales Engineer - Robotics to help us establish RobCo as leading provider of automation solutions. This role sits right at the intersection of customer needs and cutting-edge robotics technology. In our Pre-Sales Organization, you will transform customer challenges into tailored automation concepts - combining creativity, technical expertise, and a consultative approach. What makes this role unique: This is not a classic sales engineering or system integrator position. At RobCo, you design real automation solutions that combine modular robotics hardware with AI-driven software (e.g., vision, motion, autonomous behaviors). Working closely with Account Executives, you translate customer manufacturing challenges into feasible, deployable automation concepts: cell layouts, robot and peripheral selection, feasibility checks, and proof-of-value solutions that clearly demonstrate technical and business impact. As part of a robotics manufacturer, you work directly with the product and engineering teams behind the robot - without the constraints of off-the-shelf systems. 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Our Autonomous Manufacturing Platform combines modular industrial hardware with physical AI, enabling rapid deployment and continuous optimization in real production environments. With locations in Munich, San Francisco, and Austin, and backed by leading investors such as Lightspeed, Lingotto Innovation, and Sequoia, we are working to redefine industrial automation. At RobCo, we automate the ordinary, so humans can do the extraordinary. To achieve this, we are looking for an ambitious (Senior) Technical Pre-Sales Engineer - Robotics to help us establish RobCo as leading provider of automation solutions. This role sits right at the intersection of customer needs and cutting-edge robotics technology. In our Pre-Sales Organization, you will transform customer challenges into tailored automation concepts - combining creativity, technical expertise, and a consultative approach. What makes this role unique: This is not a classic sales engineering or system integrator position. 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At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. 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Doctolib develops cutting-edge AI solutions to improve access to care and facilitate the daily lives of healthcare professionals and patients. Our AI/ML teams work on large-scale projects: medical natural language processing, recommendation systems, clinical process automation, and much more. We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here ! By joining our AI talent pool, you will be contacted as a priority for our future opportunities in the following areas: The areas of expertise we are looking for : - ML Engineering & MLops : Python proficiency, Model deployment, Evaluation frameworks (Offline/Online) & Model monitoring - Natural Language Process (NLP) : Clinical NLP, LLM expertise Deep Learning or Speech / Language modeling - LLMops & Generative AI : Prompt Engineering, RAG, LLM fine-tuning, Embedding models, Agent frameworks - Automatic Speech Recognition (ASR) : Voice Activity Detection, Interactive voice assistants, audio processing, Speech-to-text - Search, Ranking, information retrieval - Reasoning capabilities : Logical reasoning, Multi-step reasoning, Chain-of-thought approaches - Knowledge representation : Knowledge graphs, ontologies, Semantic modeling - Reinforcement Learning : RL algorithms, Policy optimization, Reward modeling Most of our positions require: Before reading further, if you don't have the exact profile described below, but you think this job description matches your skills and aspirations, we still encourage you to apply. - 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Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. 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