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Experience Level
Experience
Qualifications
Candidates should possess a strong background in machine learning, particularly in large language models (LLMs), and demonstrate experience with model training, evaluation, and data manipulation. Familiarity with programming languages such as Python and frameworks such as TensorFlow or PyTorch is essential. A passion for innovation and a commitment to pushing the boundaries of AI technology are highly valued.
About the job
Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.
We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.
About Ricursive Intelligence
Ricursive Intelligence is an innovative AI Lab pioneering the development of self-improving systems, starting with advancements in chip design. Our focus lies in reinventing chip development to enhance the synergy between AI and the hardware that supports it, propelling us closer to achieving artificial superintelligence.
At Rhoda AI, we are pioneering the development of a comprehensive platform for the next generation of humanoid robots. Our ambition encompasses everything from high-performance, software-defined hardware to the foundational models and video world models that govern their operations. Our robots are engineered as versatile generalists, adept at navigating intr…
At Rhoda AI, we are pioneering the development of a comprehensive foundation for the next generation of humanoid robots. Our approach integrates high-performance, software-defined hardware with advanced models and world models that facilitate their operation. Our robots are engineered to function as generalists, adept at navigating complex, real-world environments and managing previously unseen scenarios. We are at the forefront of large-scale learning, robotics, and systems research, supported by a diverse team of experts from prestigious institutions including Stanford, Berkeley, and Harvard. With over $400 million raised, we are committed to investing in the R&D, hardware innovation, and manufacturing scale-up necessary to bring our vision to life.We invite applications for the position of Research Engineer, where you will collaborate closely with our research team on comprehensive model development. This hands-on role encompasses the entire stack: data management, infrastructure, model training, and deployment. You will play a critical role in transforming research concepts into scalable, operational systems, including the learning and application of world models for planning, prediction, and control.Key ResponsibilitiesDesign and develop foundational and world models for extensive robotic learning.Establish and manage data pipelines encompassing collection, curation, filtering, and augmentation for multimodal robotic data (vision, proprioception, actions, language, video).Engage in pre-training and post-training processes, including fine-tuning, alignment, and evaluation of large models and world models.Implement and experiment with various model architectures.Create training and evaluation frameworks for world models, focusing on rollout quality, long-horizon predictions, and downstream task performance.Enhance training infrastructure and workflows (distributed training, efficiency, debugging).Collaborate closely with researchers to convert ideas into resilient, scalable implementations.Assist with experiments, ablations, and real-world deployments on robotic systems.QualificationsProficiency in software engineering combined with a research-driven mindset.Demonstrated experience in implementing ML models end-to-end, beyond merely executing existing code.Comprehensive understanding of the entire ML pipeline: data → pre-training → post-training → evaluation → deployment.Strong foundation in deep learning frameworks and methodologies.Ability to work collaboratively in a fast-paced, innovative environment.
Full-time|$180K/yr - $300K/yr|On-site|Palo Alto, California, United States
AI Research Engineer, World ModelsPalo Alto, CA (On-site)About 1XAt 1X, we are pioneering the development of humanoid robots designed to collaborate with humans, addressing labor shortages and fostering abundance across various industries.The RoleAs an AI Research Engineer specializing in world models, you will create expansive multi-modal generative models that project future sensor inputs and robotic actions derived from historical data. These foundational models empower robots to comprehend and navigate complex real-world environments. Your responsibilities will span data engineering, model architecture, and deployment, with the goal of enhancing robot autonomy. This position merges innovative research with pragmatic product development, challenging the boundaries of robotic intelligence.
Join mindrobotics as a Research Scientist or Engineer and play a pivotal role in establishing the core of general-purpose robotics. We seek individuals from diverse backgrounds in robotics, machine learning, or large-scale generative models, driven by the ambition to translate theoretical research into practical systems. If you have experience with training foundation models, possess a deep understanding of Vision-Language Models (VLMs) and Vision-Language Applications (VLAs), and are eager to bring these concepts to life through real-world hardware, this position is ideal for you. This role encompasses the entire development process, from creating innovative methodologies to scaling training systems, and engaging directly with robots to identify key operational insights. We value team members who demonstrate ownership, seamlessly navigate between research and engineering, and are passionate about seeing their contributions manifest as tangible robotic behaviors.
Full-time|$100K/yr - $300K/yr|On-site|Palo Alto, California, United States
Join the OPPO Research Center as a forward-thinking NLP Research Scientist, where you will play a pivotal role in shaping our next-generation AI hardware platforms, including innovative AI Glasses and Earphones. Your passion for generative AI research will drive the design, training, and deployment of sophisticated multimodal intelligence models that effortlessly merge language, vision, and action. Collaborating within our dynamic team, you will co-create algorithms and hardware, translate groundbreaking research into tangible products, and contribute your findings to prestigious AI conferences.
Technical Staff Member - Foundation Model Architecture & AI InfrastructureJoin Vinci, a leading innovator in operator intelligence infrastructure for cutting-edge hardware programs. We have successfully demonstrated that a single foundation model can seamlessly operate across various industries on complex production workloads.Leveraged over 45TB of structured physics data for training.Facilitated billion-voxel inference in live production settings.Implemented within Tier-1 semiconductor and hardware environments.Adapted to operate across diverse physical scales and operator regimes.This is not just a research prototype; it is a robust production infrastructure. We are now on a mission to scale our deployment to industrial levels:Enhancing simulation throughput by two orders of magnitude.Transitioning from billion-voxel to trillion-voxel domains.Broadening operator coverage to nonlinear regimes.Enabling global, multi-entity deployments within Tier-1 ecosystems.Our goal is not merely to become a frontier AI lab but to establish the default operator intelligence layer that hardware companies depend on.The Operator FrontierOur unified model currently addresses a subset of partial differential equations within real industrial environments. The next step involves extending this unified architecture across operator systems, including:Maxwell’s equationsElasticityPlasticityNavier–StokesNonlinear constitutive systemsCoupled multiphysics interactionsWe aim to evolve a single operator foundation model that generalizes across industries, physical scales, and conditioning regimes, all while scaling in deployment volume.Key ResponsibilitiesThis position focuses on AI architecture and systems engineering rather than low-level GPU kernel development. You will play a crucial role in defining and enhancing the core operator intelligence layer.
Position OverviewJoin our innovative team at Nace.ai as we push the boundaries of artificial intelligence through cutting-edge research in large language models (LLMs) and vision-language models (VLMs). We are in search of a talented AI Research Engineer with a strong focus on adaptive learning methodologies, including meta-learning and hypernetworks. Your role will encompass the design and implementation of advanced architectures for dynamic model adaptation, enhancing model reasoning capabilities, and effectively sharing insights with both research and engineering teams.Essential Qualifications:Demonstrated experience with LLMs or VLMs in both research and production environments.Strong foundational knowledge in Natural Language Processing, Machine Learning, or related fields, particularly in language model development.A proven history of tackling complex challenges in language understanding and generation, employing rigorous quantitative methods.Exceptional communication skills for conveying research findings to varied technical audiences.Proficiency in Python and familiarity with deep learning frameworks such as PyTorch, JAX, or TensorFlow, alongside experience in distributed training and model optimization.Desirable Qualifications:PhD in Computer Science, Computational Linguistics, or a closely related discipline with an emphasis on language models and adaptive learning frameworks.Substantial research and engineering background with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, supported by grants, fellowships, patents, or contributions to open-source initiatives.First-author publications in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals focusing on language models, meta-learning, hypernetworks, or adaptive AI.Preferred Technical Expertise:In-depth research knowledge in LLM reasoning, hypernetworks, multi-task learning, meta-learning, and the design of innovative LLM adaptation techniques, including online continual learning.
About UsOdyssey AI is at the forefront of artificial intelligence innovation, developing groundbreaking general-purpose world models that represent a new paradigm in multimodal intelligence. Our cutting-edge models, including the remarkable Odyssey-2 Pro, are unlocking new possibilities for consumer, enterprise, and intelligence applications.Your RoleWe seek a highly skilled and imaginative researcher who thrives on the challenge of invention. You are driven by curiosity, eager to transform abstract concepts into tangible systems, and adept at integrating research with practical applications. Your ambition to create general-purpose world models capable of real-time generation, comprehension, and interaction is key.ResponsibilitiesPursue innovative research into the foundational aspects of world models, including representation, temporal coherence, causality, control, and long-term imagination.Develop and oversee an independent research agenda, tackling unresolved questions, formulating hypotheses, and creating algorithms that could redefine the capabilities of these models.Investigate novel architectures, learning objectives, and training paradigms that advance beyond current diffusion and transformer methodologies.Create conceptual frameworks and experimental systems to enhance our understanding of model perception and user intent responsiveness within real-world contexts.Collaborate with engineering and infrastructure teams to translate foundational insights into prototypes that showcase new functionalities rather than mere incremental improvements.Contribute to the scientific community by publishing research, mentoring peers, and actively engaging with the broader research ecosystem to influence the evolution of general-purpose world models.
Internship|Remote|Palo Alto, California, United States
Location: Remote or Palo Alto, CADuration: 12–16 weeks (flexible)Compensation: Paid, competitiveStart: RollingAbout PalonaAt Palona, we are dedicated to creating real-world AI systems that operate continuously in production environments. Our focus is on developing AI agents that can perceive, reason, remember, and act in physical spaces, starting with restaurants as our initial domain due to its complexity and high signal density.We thrive on research that stands the test of reality, addressing challenges such as partial observability, delayed effects, noisy signals, non-stationarity, and long-term outcomes.Research ScopeThis internship is designed for PhD students eager to tackle applied research challenges linked to deployed systems. You will explore questions stemming from live AI agents functioning in the real world, where ideal assumptions may fail, and understanding system behavior over time is essential.Required Research Background (PhD Level)We seek candidates with extensive research experience in at least one primary area, alongside a working knowledge of related fields.Primary Research Areas (at least one required)1. Sequential Decision MakingReinforcement learning, planning, or controlPOMDPs or decision-making under partial observabilityCredit assignment with delayed and sparse rewardsLong-horizon optimizationRelevant indicators:Publications in RL, planning, or control venuesExperience in implementing and evaluating decision-making agents2. World Modeling and State RepresentationLatent state models for dynamic environmentsTemporal abstraction and hierarchical representationsPersistent memory or state trackingModeling environments that evolve over timeResearch in state-space models, memory-augmented models, or temporal representations3. Reasoning Under Uncertainty and CausalityBelief state estimationUncertainty modeling in dynamic systems with incomplete or noisy informationResearch in probabilistic modeling, causal inference, or dynamic systems4. Multimodal Learning in Real EnvironmentsVision-language modelsLearning from asynchronous, noisy, or partially missing modalitiesSensor fusion or multimodal representation learningPublications or projects involving multimodal modelsExperience working with real-world (not solely synthetic) dataWhat You Will Work OnYour projects will be tailored to your expertise and may encompass:Designing AI systems that effectively navigate complex environments
About UsHippocratic AI is at the forefront of generative AI in the healthcare sector, pioneering a system capable of conducting safe and autonomous clinical conversations with patients. Our proprietary LLMs, part of the Polaris constellation, boast an impressive accuracy rate exceeding 99.9%.Why Join Our TeamRevolutionize healthcare with AI prioritizing safety. We’re creating the world’s first healthcare-exclusive, safety-oriented LLM — a groundbreaking platform aimed at transforming patient outcomes globally.Collaborate with visionaries shaping the future. Co-founded by CEO Munjal Shah alongside a team of healthcare professionals, AI innovators, and researchers from prestigious institutions, including El Camino Health, Johns Hopkins, and Stanford.Supported by top healthcare and AI investors. Our recent $126M Series C funding round, led by Avenir Growth, has propelled our valuation to $3.5B, totaling $404M in funding from notable investors like CapitalG and a16z.Build innovative solutions with industry leaders. Work alongside experts dedicated to enhancing healthcare, advancing scientific discoveries, and developing transformative technologies that ensure our platform is powerful and trustworthy.Location RequirementTo foster collaboration and a robust team culture, this position requires presence in our Palo Alto office five days a week, unless stated otherwise.
Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.
About the Arc Institute The Arc Institute is an innovative scientific research organization dedicated to conducting groundbreaking basic science and technology development focused on understanding and treating complex human diseases. Based in Palo Alto, California, we operate independently while collaborating with leading institutions such as Stanford University, UCSF, and UC Berkeley. We believe that advancing scientific research requires new institutional models. Our approach includes: Comprehensive Funding: We fully finance our Core Investigators’ research teams, freeing them from the traditional constraints of project-based external grants. Advanced Technology: Recognizing the growing complexity of biomedical research, our Technology Centers develop, optimize, and deploy cutting-edge experimental and computational technologies in partnership with our Core Investigators. Exceptional Support: We provide unparalleled operational, financial, and scientific support, enabling researchers to undertake ambitious, high-risk projects aimed at significant advancements in curing diseases such as neurodegeneration, cancer, and immune dysfunction. Cultivating a Positive Culture: We prioritize a research environment that nurtures scientific curiosity, a commitment to truth, broad ambition, and collaborative spirit. Having grown to over 350 staff with more than $650 million in committed funding and a state-of-the-art lab facility, the Arc Institute is poised for rapid expansion in the coming years. About the Position The Zhou Lab is seeking passionate, diligent, and inquisitive candidates. Our specialization lies in single-cell epigenomic modeling, utilizing high-throughput single-cell multiomic technologies and computational models to investigate the spatiotemporal dynamics of gene regulation. The chosen applicant will be pivotal in pushing the boundaries of generative AI applications in biology, focusing on DNA sequences, gene regulation, and perturbation modeling. You will be tasked with developing machine learning models tailored for biological data by leveraging innovative ML architectures, interpretability techniques, and more. Furthermore, your models will be applied to significant computational biology tasks, including genome mining and molecular interaction analysis.
Ricursive Intelligence is at the forefront of AI innovation, dedicated to developing self-enhancing systems with a strong emphasis on chip design. Our mission is to transform chip development and create a seamless connection between artificial intelligence and the hardware that powers it, thereby accelerating the journey towards artificial superintelligence.We are on the lookout for top-tier researchers to engage in groundbreaking AI research, tackling a diverse array of challenges associated with LLM modeling, training, data management, evaluation, and beyond. As a dynamic startup, our team is highly collaborative and hands-on; researchers are empowered to design and execute large-scale experiments and to build and deploy models in a production environment.
Woven by Toyota is at the forefront of Toyota’s transformative journey into a mobility-focused company. With a rich legacy of innovation that prioritizes societal benefit, our aim is to redefine mobility through human-centered solutions, expanding the definition of mobility and its societal contributions.Our initiatives revolve around four core areas: Advanced Driver Assistance Systems (AD/ADAS), the Arene software development platform for software-defined vehicles, Woven City as a testing ground for mobility solutions, and our digital infrastructure encompassing Cloud & AI. Together, we strive toward a singular ambitious goal: a world devoid of accidents and enhanced well-being for everyone.TEAMAt Woven by Toyota, we are pioneers in crafting advanced Machine Learning solutions aimed at autonomous driving. Our team is dedicated to overcoming innovative challenges by designing sophisticated neural networks, developing pioneering end-to-end architectures, and enhancing machine learning techniques in perception, prediction, and motion planning. We are seeking enthusiastic innovators and skilled problem-solvers who are eager to transform mobility through cutting-edge AI and robotics, directly influencing the future of autonomous vehicle technology.Woven by Toyota is collaborating with the Toyota Research Institute (TRI) on a project focused on developing a visual-based world model as a learned simulator to assess end-to-end automated driving. This collaborative effort aligns with TRI's advanced development initiatives in Diffusion Policy and Large Behavior Models (LBM).WHO ARE WE LOOKING FOR?We are in search of a Senior Machine Learning Engineer to help construct a vision-based world model for interactive driving scenarios. The engineer will play a crucial role in linking research initiatives with production programs. This position demands excellent communication abilities and a collaborative approach to navigate the joint nature of the Woven / TRI partnership. Candidates should possess extensive technical knowledge of state-of-the-art methodologies in robotics and automated driving to guide vision and scope, initiating long-term open-research projects.
Located in the heart of Silicon Valley, genbio is an innovative start-up driven by a team of exceptional scientists, engineers, and entrepreneurs. We are on a mission to revolutionize the fields of biology and medicine by harnessing the transformative potential of generative AI. Our team is composed of leading experts and trailblazers in AI and biological sciences, dedicated to expanding the horizons of what is achievable. We are visionaries committed to rethinking the future of biology and medicine.As pioneers in developing pan-modal Large Biological Models (LBM), we are setting new standards in biomedicine. Our groundbreaking LBM training leads to significant advancements and a redefined approach to healthcare. With a strong focus on research and development, our leadership in large language models and generative AI places us at the forefront of this groundbreaking field. With a headquarters in Palo Alto, California, and additional offices in Paris and Abu Dhabi, we are well-positioned to make a worldwide impact. Join us on this exciting journey to reshape the future of biology and medicine through the innovative capabilities of Generative AI.
Full-time|On-site|Palo Alto, California, United States
Senior HR Business Partner | Palo Alto, CAAgile Robots is a pioneering force in the realm of industrial and humanoid robotics, harnessing cutting-edge machine learning and robotic vision to revolutionize the workplace. With our headquarters in Munich and a diverse global team of over 2,500 professionals, we are excited to expand our presence in North America. This is a unique chance to become a core member of our U.S. team, playing a pivotal role in shaping the culture and operations of our Silicon Valley headquarters.The Role: As we embark on deploying next-generation AI-enabled automation and Physical AI, you will be our first HR Business Partner in the U.S., integral to the founding team. You will spearhead the establishment and scaling of our HR operations, policies, and cultural framework. Acting as both a strategic consultant and a hands-on practitioner, you will ensure that our people practices are in harmony with global standards while catering to local requirements. This position demands a practical, results-oriented mindset and the capacity to thrive in a dynamic, fast-paced environment.Key Responsibilities1. HR Strategy & OperationsDesign and implement HR policies, processes, and programs tailored to the U.S. market, ensuring alignment with global standards.Build and develop HR infrastructure encompassing onboarding, offboarding, performance management, and employee relations.Collaborate with leadership to define and execute the people strategy, fostering business growth and cultural integration.2. Talent Acquisition & ManagementLead comprehensive recruitment efforts, from talent sourcing to onboarding, to attract exceptional talent from the Bay Area and beyond.Forge and maintain strong relationships with hiring managers to facilitate a seamless and efficient hiring process.Implement talent development initiatives, including training, career pathing, and succession planning in alignment with our global standards.3. Employee Experience & EngagementChampion a positive and inclusive company culture, serving as a trusted advisor to both employees and leadership.Address employee relations issues with professionalism and discretion, ensuring compliance with local labor laws.Design and execute events, offsites, and community-building initiatives that reflect our innovative spirit and enhance employee engagement and retention.4. Compensation, Benefits & ComplianceOversee payroll administration to ensure accuracy and timeliness.Develop and manage competitive compensation and benefits programs in collaboration with global HR and local vendors.Ensure compliance with U.S. employment laws and regulations.
Full-time|On-site|Palo Alto, California, United States
Agile Robots is at the forefront of the industrial and humanoid robotics revolution, harnessing cutting-edge machine learning and robotic vision to transform the workplace. Our goal is to effectively merge artificial intelligence with robotics capabilities. With our headquarters in Munich and a global workforce exceeding 2,500, we are excited to expand our operations into North America. As we embark on this journey to establish our presence in the US market, we are in search of a passionate and innovative Marketing Manager. This is a remarkable opportunity to become a pivotal member of our US team at our Silicon Valley headquarters, where you will have the chance to significantly elevate the profile of a leading global technology innovator.Role Overview: In this position, you will spearhead all marketing initiatives necessary to establish and promote our brand in the US. Your responsibilities will center around event management, digital marketing, content creation, and thought leadership. You will identify key conferences, design compelling campaigns, and ensure our brand maintains a strong presence across all relevant platforms.Key Responsibilities:Establish the US marketing function from the ground up, defining key priorities, processes, and tools.Plan, organize, and execute a variety of events including trade shows, conferences, roadshows, launch events, and webinars.Identify speaking opportunities and forge partnerships at prominent US robotics and AI conferences.Execute digital marketing campaigns encompassing social media, paid advertising, newsletters, and SEO/SEM strategies.Create and manage multimedia content such as podcasts, live streams, videos, and thought-leadership articles.Collaborate closely with the global marketing team and external vendors in the EU and US to ensure consistent branding and messaging.Analyze marketing performance metrics, providing regular insights and recommendations.Develop and maintain a network of partners, agencies, and media contacts within the US.
About Rhoda AI Rhoda AI is building the next generation of humanoid robots. The team combines high-performance, software-defined hardware with advanced foundational models and video world models to power robotics that can handle real-world complexity. Rhoda AI partners with researchers from Stanford, Berkeley, Harvard, and other leading institutions. With over $400M raised, the company is investing heavily in research, hardware development, and manufacturing scale-up. Role Overview The Robot Software Engineer will design and validate simulation environments for Rhoda AI’s humanoid robotics platform. This position focuses on building physics-based models that faithfully represent real hardware and developing the software pipelines that bridge simulation with the physical robots. Work will span motion planning, control systems, and sim-to-real transfer for AI policy training. The role is part of a small, agile team working on core technology for Generation 0 and Generation 1 robots.
Full-time|On-site|Palo Alto, California, United States
1XFounded in 2015, 1X has emerged as a leader in the development of cutting-edge humanoid robots tailored for domestic applications. Our ambition is to create a considerable workforce through safe and intelligent humanoids.We are committed to excellence, tackling some of the most challenging issues in robotics with the most talented professionals in the field. Our vertically integrated approach ensures that every component of our robots, from motor coils to advanced AI, is meticulously designed and manufactured in-house. At 1X, your contributions will be valued, and your achievements recognized, with rewards based on merit.At 1X Labs, we aim to pioneer the science and technology necessary for developing human-level, versatile humanoid robots.We are dedicated to identifying the performance gap between current humanoid capabilities and the demands of human-level functionality. Our approach involves delving deep into fundamental principles, exploring innovative yet often non-intuitive pathways, and translating technological advancements into tangible products. Our focus and integration across materials science, component design, systems engineering, and manufacturing uniquely position us to convert research breakthroughs into real-world applications.Humanoid robots represent a highly integrated system where significant advancements can only be achieved when sensing, actuation, materials, control, and intelligence evolve collectively, each challenging its limits. 1X Labs comprises experts who understand their disciplines profoundly enough to confidently push boundaries while engaging with adjacent fields, recognizing which constraints are critically important.You possess deep expertise in your area—shaped by years of tackling complex, practical challenges. Your interdisciplinary approach is a natural outcome of mastery in a field that requires collaboration across various domains.As a Biomechanics Researcher on the 1X Labs team, your mission will be to:Drive humanoid performance towards biological benchmarks by basing engineering decisions on biological references and principles.
Full-time|On-site|Palo Alto, California, United States
About 1X Founded in 2015, 1X is a pioneering company dedicated to innovating advanced humanoid robots for home use. Our vision is to revolutionize labor availability with safe and intelligent humanoids that enhance everyday living.Position OverviewAs a Hardware Systems Prototyping / Research Engineer within the 1X Labs team, your primary responsibility is to redefine the limits of technology by rapidly creating and refining tangible systems that operate under real-world constraints.You will conceptualize and develop new mechanical systems and architectures, transforming ideas into functional hardware and rigorously testing them. Your prototypes will serve as tools to validate hypotheses, identify constraints, and maximize performance. The goal is not merely to achieve functionality but to approach human-level behavior or fully understand the limitations.Your expertise spans mechanics, electronics, and software. You will iterate swiftly, with each prototype being meticulously measured, evaluated, and benchmarked against biological or system-level standards. Success means pushing the limits of what works, and failure is an opportunity to learn and advance.This role is execution-driven; you will generate original ideas and develop concepts from others, favoring practical implementation over theoretical discussions. Prototyping is a means to let the system inform you, not a final destination.Importantly, you will ensure the transition of successful prototypes into robust designs that can be seamlessly integrated with existing products, accommodating real-world constraints and production processes.
