Junior Mechanical Engineer at Rhoda AI | Palo Alto

At Rhoda AI, we are pioneering a comprehensive platform for the next generation of humanoid robots. Our cutting-edge technology encompasses high-performance, software-defined hardware alongside sophisticated foundational models and video world models. Our robots are crafted to be versatile and capable of navigating complex, real-world scenarios that may not …

Join us at Rhoda AI, where we are pioneering the full-stack foundation for the next generation of humanoid robots. Our mission encompasses everything from high-performance, software-defined hardware to the foundational models and video-based world models that govern them. Our robots are designed to navigate complex, real-world environments and tackle scenarios that have not been encountered during training. We are a collective of top-tier researchers from esteemed institutions like Stanford, Berkeley, and Harvard, focusing on the intersection of large-scale learning, robotics, and systems. With over $400M raised, we are committed to substantial investments in R&D, hardware development, and scaling manufacturing to bring our vision to life.As a Robotics Software Engineer, you will play a crucial role in developing and maintaining the software that drives our robots. Your primary focus will be on integrating sensors and perception systems to facilitate reliable operations in varied customer environments.

At Rhoda AI, we are pioneering the development of the full-stack architecture for the future of humanoid robotics. Our innovative work spans from high-performance, software-defined hardware to foundational models and visual models that govern it. Our robots are designed as generalists, capable of navigating complex, real-world environments and addressing scenarios that were not included in their training. We collaborate at the intersection of large-scale learning, robotics, and systems, with an exceptional research team featuring experts from Stanford, Berkeley, Harvard, and other prestigious institutions. We are not merely creating a feature; we are establishing a groundbreaking computing platform for physical tasks. With over $400M raised, we are heavily investing in R&D, hardware development, and scaling up manufacturing to turn our vision into reality.We are seeking a talented Full Stack Software Engineer to contribute to the development of our crucial automation platform. This tool is vital for how we gather data, validate task performance, manage model versions, and quickly iterate on model training and deployment.

Rhoda AI builds advanced humanoid robots designed to handle complex, real-world tasks. The team brings together researchers from Stanford, Berkeley, Harvard, and other leading institutions. Backed by over $400 million in funding, Rhoda AI invests heavily in research, hardware, and manufacturing to push the boundaries of robotics. Role overview The Robotics Quality Assurance Engineer will design and implement testing systems for Rhoda AI’s robotics software stack. This role focuses on building infrastructure that ensures reliability, catches regressions, and supports smooth deployment of software to robots in the field.

Rhoda AI builds the next generation of humanoid robots, combining high-performance, software-defined hardware with advanced foundational and video world models. Our robots are designed for adaptability, tackling complex real-world situations, even those outside their original training data. Backed by over $400 million in funding, Rhoda AI invests deeply in research, hardware innovation, and scaling manufacturing. Our research team includes alumni from Stanford, Berkeley, and Harvard. Role Overview The Vice President of Hardware Engineering leads the design, development, and scaling of Rhoda’s robotics systems from concept through mass production. This executive role builds and guides a top-tier hardware engineering organization, shapes product architecture, and ensures delivery of systems that meet the demands of industrial applications. Rhoda AI is committed to overcoming the hardware barriers that have limited robotics in real-world environments. What You Will Do Product and System Leadership Work closely with Product Management to define system requirements and outline product roadmaps. Translate product needs into clear engineering specifications and system architectures. Lead hardware development across mechanical, electrical, and systems engineering teams. Design and Development Oversee the design and development of robotic systems, including manipulation platforms, end effectors, sensor integration, and compute and control systems. Ensure systems remain reliable and safe under real-world operational stresses, including variability, wear, and uptime demands. Execution and Delivery Manage the full product lifecycle: from concept and prototyping through validation, new product introduction, and volume production. Set up and enforce rigorous test and validation protocols covering functionality, reliability, and safety. Develop engineering processes and standards to support product development and maintain quality assurance. Location Palo Alto, CA

About UsAt Hippocratic AI, we are pioneers in the realm of generative AI for healthcare. Our innovative system enables safe and autonomous clinical dialogues with patients, achieving over 99.9% accuracy through our proprietary large language models (LLMs) within the Polaris constellation.Why Join Our TeamTransform healthcare with safety in mind. We are developing the world’s first healthcare-specific, safety-centric LLM, a revolutionary platform aimed at enhancing patient outcomes globally. This represents a new category in healthcare technology.Collaborate with industry leaders. Co-founded by CEO Munjal Shah alongside a team of esteemed physicians, hospital executives, AI innovators, and researchers from top institutions such as El Camino Health, Johns Hopkins, Stanford, Google, and NVIDIA.Supported by premier investors. Recently, we secured $126M in Series C funding at a $3.5B valuation, led by Avenir Growth, contributing to a total funding of $404M from notable investors including CapitalG, General Catalyst, and a16z.Work with the best minds in healthcare and AI. Join a team dedicated to improving healthcare, advancing science, and creating transformative technologies that ensure our platform is powerful and trusted.About the RoleAs an AI Engineer at Hippocratic AI, you will be instrumental in advancing voice-based generative AI in healthcare. Your responsibilities will include designing and developing intelligent systems that power our clinically safe healthcare agents, integrating large language models with real-time voice technology and human-centered design.This is a hands-on, cross-functional position, requiring close collaboration with AI researchers, product managers, and clinical experts to deploy advanced language and speech models. Your contributions will significantly shape how patients and providers interact safely with generative AI.

Hippocratic AI is building generative AI systems for healthcare, focused on safe, autonomous clinical conversations. The company’s proprietary large language models (LLMs) power these interactions, achieving an accuracy rate above 99.9%. This team is developing a healthcare-exclusive, safety-first LLM platform with the goal of improving patient outcomes worldwide. The company is led by CEO Munjal Shah and a group of physicians, hospital executives, AI researchers, and engineers from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading investors in healthcare and AI, including Avenir Growth, CapitalG, General Catalyst, and a16z. The company recently completed a $126 million Series C round, reaching a $3.5 billion valuation and $404 million in total funding. Role overview The Staff AI Engineer will shape the technical direction for voice-based generative AI in healthcare. This position involves designing intelligent systems that enable clinically safe healthcare agents, blending expertise in large language models, real-time voice interaction, and user-centered product development. This is a hands-on role with significant impact. The Staff AI Engineer will oversee one or more core AI domains, such as retrieval-augmented generation (RAG), agent orchestration, evaluation, or real-time voice. Collaboration with AI researchers, product managers, and clinical experts is central, as is mentoring engineers across the organization. Contributions in this role will influence how patients and providers interact with generative AI at scale. Hippocratic AI seeks experienced technical leaders who want to apply AI to real-world healthcare challenges and set high standards for technical excellence. Location requirement This position is based in Palo Alto and requires in-person attendance at the office five days a week unless otherwise specified.

About Hippocratic AI Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions. Our Mission and Team The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner. Role Overview: Performance Engineer The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications. Key Responsibilities Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage). Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions. Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health. Location This position is based in Palo Alto.

At Rhoda AI, we are pioneering the next generation of humanoid robots, laying the groundwork for advanced computing platforms that integrate high-performance, software-defined hardware with sophisticated models for real-world applications. Our mission is to create robots that can adeptly navigate complex environments and tackle unforeseen challenges. Our talented research team consists of experts from prestigious institutions such as Stanford, Berkeley, and Harvard. With over $400 million raised, we’re heavily investing in research and development, hardware innovation, and scaling our manufacturing capabilities.As the Facilities Manager, you will play a crucial role in ensuring that Rhoda AI's physical environment is secure, organized, and prepared for a variety of activities—from VIP investor visits to freight deliveries and equipment maintenance. You will be the primary liaison for all building-related matters, engaging with our landlord, vendors, and service providers, allowing our team to focus on robotic innovation.Key ResponsibilitiesBuilding OperationsAct as the main point of contact for all building systems (HVAC, IT, electrical, plumbing, waste management, pest control) — oversee vendor management and preventative maintenance scheduling.Manage janitorial services and arrange additional cleaning as necessary (e.g., prior to significant visits or demonstrations).Ensure that communal areas, conference rooms, and lab spaces are consistently clean, organized, and functional.Monitor expenses and manage the facilities budget.Safety & SecurityOversee badge and access management, security camera systems, and physical security coordination with IT contractors.Coordinate OSHA and workplace safety initiatives, ensuring compliance with EHS standards.Prepare for emergency response and manage incident protocols.Facilitate the disposal of batteries and other specialized materials.Uphold a safe working environment for employees, visitors, and contractors.Visitor & Event CoordinationCoordinate logistics for visitor events, ensuring seamless experiences for guests.

Join us in transforming healthcare through AI.At Qualified Health, we are at the forefront of innovation, harnessing the power of Generative AI to revolutionize the healthcare landscape. Our robust infrastructure ensures safe AI governance, facilitates the creation of healthcare-specific agents, and enables real-time algorithm monitoring—partnering with leading health systems to effect meaningful change.This is not merely a position; it is a chance to shape the future of AI in healthcare, tackle intricate challenges, and significantly enhance patient care. If you are driven, creative, and eager to accelerate progress, we invite you to become a part of our team.Help us define the future of healthcare. Job Overview:We are seeking a dedicated Applied AI Engineer who will be pivotal in developing and scaling AI workflows that are practical and impactful. This role is tailored for engineers who are adept at deploying generative AI applications. You will primarily focus on constructing agentic workflows and integrating production-grade solutions across various product lines.Collaboration with product and engineering teams will be key as you design, deploy, and enhance AI-driven applications that address real-world healthcare issues.Key Responsibilities:Create and implement agentic workflows and automation pipelines (approximately 60% of the role).Develop and sustain production-ready services, REST APIs, and integrations (approximately 30%).Deliver production solutions swiftly, emphasizing agility and efficiency.Collaborate with product, engineering, and design teams to provide comprehensive AI-powered features.Assess and integrate cutting-edge LLMs (OpenAI, Anthropic, Mistral, etc.) for production use cases.Contribute to the development of a scalable workflow infrastructure capable of supporting 100+ workflows.Required Qualifications:Bachelor’s degree with 4 years of experience OR Master’s degree with 2 years in Computer Science, Engineering, or a related field.Robust software engineering foundation (Python is essential; adherence to strong coding practices is a must).Experience in developing AI-powered applications within the last 1–2 years utilizing technologies such as ChatGPT, Claude, Anthropic, or Mistral.Practical experience in REST API development and service deployment in cloud environments (preferably GCP).Solid understanding of MLOps, model deployment, and ...

Harmony is an innovative blockchain platform that leverages data sharding and rapid transaction finality. Our on-chain tokens facilitate micro-payments for social games and community AI applications, while smart contracts enhance market pricing and zero-knowledge proofs ensure data privacy.At Harmony, we are committed to scaling trust and fostering a radically equitable economy. Our decentralized, scalable, and secure platform allows for seamless transactions without the need for trusted intermediaries. Join Us in Building the FutureAs a Day-1 startup, we recognize that while blockchain technology is the future of the global economy, its current adoption is merely at 1%. This presents you, as a trailblazer and developer, with an unparalleled opportunity to make a 10X impact. Harmony thrives on community involvement, showcasing a network filled with diverse applications and a team driven by ambitious goals. The future is bright, and we want you to be part of it!For our engineering roles, we seek individuals with a profound understanding of data structures and systems. You are a creator of tools, a hacker of systems, and a mathematician at heart. Your daily tasks may include prototyping groundbreaking research papers, debugging hexadecimals, or collaborating asynchronously with a diverse team of engineers. If you thrive in chaotic environments, this is the place for you!For our creative roles, we value your passion for user experience. You embody the roles of product designer, brand strategist, and industry analyst. Your workday might include analyzing user feedback through metrics, crafting detailed narratives on product features, or coordinating tasks for product launches to engage millions. If building a vibrant community is your lifelong ambition, take the leap with us! Explore Our Vision: Social A(G)I and Shard 1.

Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.

Why Join Zania?At Zania, we are on a mission to revolutionize Governance, Risk, and Compliance (GRC) through innovative technology. With enterprises investing millions in GRC, the sector is primed for transformation. Our cutting-edge agentic AI is designed to tackle the complexities of compliance and risk management effectively, setting new benchmarks in the industry.We are experiencing rapid growth and are looking for talented individuals to join our team. Here are some compelling reasons to consider a career with us:Prestigious Clientele: Collaborate with leading global enterprises such as FAANG and top-tier firms.Strong Financial Backing: Supported by a top-tier venture capital firm, enabling us to build a legacy company.Exceptional Team: Work alongside industry leaders from renowned companies like Airbnb, Microsoft, and Deloitte.Innovative Technology: Engage in pioneering applied AI projects that are shaping the future of compliance.Rapid Expansion: Join us as we celebrate a remarkable 10x growth in annual recurring revenue over the past year.Attractive Compensation: We offer competitive salaries and equity options.Position OverviewAs an Applied AI Engineer at Zania, you will spearhead the development of advanced AI systems that surpass traditional methods in GRC. Your focus will be on building production-level AI solutions with an emphasis on accuracy, innovation, and ethical considerations. This position is located in our Palo Alto office, and we provide relocation assistance for qualified candidates.Your ResponsibilitiesModel Development: Fine-tune foundational AI models using proprietary datasets and implement cutting-edge techniques to enhance precision in GRC tasks.AI Workflow Creation: Design and develop intricate agentic workflows that optimize compliance processes.

About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.

About VoltaiVoltai is at the forefront of technology, developing innovative world models and intelligent agents that learn, evaluate, plan, and interact with the physical world. Our journey begins with creating advanced hardware, focusing on electronic systems and semiconductors, where artificial intelligence transcends human cognitive limitations.About Our TeamOur team, supported by leading Silicon Valley investors and Stanford University, includes former Stanford professors, SAIL researchers, Olympiad medalists, and industry leaders from renowned companies such as Google, AMD, Broadcom, and Marvell. We are proud to have former high-ranking officials, including a US Secretary of Defense and Senior Advisors to multiple US presidents, among us.

About VoltaiVoltai is at the forefront of developing advanced world models and agents that enable learning, evaluation, planning, experimentation, and interaction with the physical environment. Our initial focus is on understanding and building hardware, specifically electronic systems and semiconductors, where artificial intelligence can design and create beyond the limits of human cognition.About the TeamSupported by some of Silicon Valley’s most prestigious investors, Stanford University, and prominent figures including CEOs and Presidents from Google, AMD, Broadcom, and Marvell, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of Synopsys & GlobalFoundries, and advisors who have served under four US presidents.Key ResponsibilitiesLead and manage a team of engineers through agile sprint cycles and critical delivery milestones.Drive sprint planning and execution, from backlog refinement to sprint reviews and retrospectives.Prioritize engineering tasks based on business impact, technical debt, and resource limitations.Transform complex requirements from product and hardware teams into clear, actionable engineering tasks and user stories.Eliminate obstacles and enhance team efficiency through daily stand-ups, one-on-ones, and cross-team collaboration.Collaborate closely with product and design teams to maintain a balance between feature delivery and technical excellence.Monitor team performance through velocity tracking, sprint health assessments, and delivery metrics while fostering continuous improvement.

About Spacial:At Spacial, we are pioneering a transformative approach to the design, engineering, and approval processes in the built environment. With extensive expertise in architecture, engineering, and construction, our team has experienced the industry's challenges—prolonged approvals, persistent revisions, and ambiguous requirements that can compromise even the finest designs.To address these issues, we developed Spacial: an AI-driven platform that automates structural and MEP engineering, converting 2D designs into permit-ready, code-compliant documentation in a matter of days rather than months.This represents more than just optimization; it establishes a new benchmark for the AEC industry, delivering speed, clarity, and control from day one. By uniting architects, engineers, builders, and homeowners on a singular platform, Spacial eradicates obstacles, expedites approvals, and accelerates the realization of innovative ideas.

About VoltaiVoltai is at the forefront of developing sophisticated models and agents that enable learning, evaluation, planning, experimentation, and interaction with the physical world. Our initial focus is on understanding and constructing hardware, including electronic systems and semiconductors where artificial intelligence can surpass human cognitive capabilities.About the TeamSupported by premier Silicon Valley investors, Stanford University, and industry leaders such as CEOs and Presidents from Google, AMD, Broadcom, and Marvell, our team comprises former Stanford professors, SAIL researchers, Olympiad medalists, and top executives from Synopsys, GlobalFoundries, and Cadence, alongside distinguished former government officials.About this RoleAs a Firmware Engineer, you will be responsible for designing and implementing firmware that connects AI-driven hardware with physical devices. Your work will encompass system bring-up, control, and diagnostics, facilitating adaptive and self-optimizing behavior in real-time systems. Collaborate with electrical, systems, and verification engineers to create embedded software that powers intelligent machines.

About Glean:Established in 2019, Glean is a pioneering AI-driven knowledge management platform that empowers organizations to swiftly locate, organize, and disseminate information across their teams. By seamlessly integrating with tools such as Google Drive, Slack, and Microsoft Teams, Glean guarantees that employees access pertinent knowledge at optimal times, thereby enhancing productivity and collaboration. Our state-of-the-art AI technology streamlines knowledge discovery, facilitating quicker and more efficient utilization of collective intelligence among teams.Glean's origin stems from Founder & CEO Arvind Jain's profound understanding of the obstacles employees encounter while searching for and comprehending information at work. Witnessing firsthand how fragmented knowledge and a plethora of SaaS tools hinder productivity, he endeavored to create an innovative solution - an AI-powered enterprise search platform that enables individuals to swiftly and intuitively access the information they require. Since then, Glean has evolved into the foremost Work AI platform, amalgamating enterprise-grade search, an AI assistant, and robust application and agent-building capabilities to fundamentally transform employee workflows.Position Overview:Glean is on the lookout for passionate engineers ready to tackle cutting-edge challenges in data and AI security and governance. In a rapidly expanding startup environment, this role requires understanding customer needs, delving into domain-related problems and research, and devising innovative solutions. Engineers will collaborate closely with product managers and designers to navigate engineering constraints while meeting requirements, ultimately delivering intuitive experiences that enterprises can trust to keep their users secure.