AI Customer Engineer

Hippocratic AI seeks an AI Customer Engineer based in Palo Alto. This position centers on helping clients use advanced AI technologies and making sure their experience meets high standards. Role overview The AI Customer Engineer works directly with customers to support their needs and ensure the successful use of AI-powered solutions. Each project involves a…

About Nightfall:Nightfall AI is a pioneering, AI-driven platform specializing in unified data loss prevention and insider risk management. We safeguard sensitive information across a variety of channels including SaaS applications, GenAI tools, email, and endpoint devices. Our esteemed clientele, ranging from groundbreaking AI companies to some of the world’s top banks, relies on Nightfall to effectively detect and prevent data exfiltration at scale. Our innovative platform empowers organizations to pursue their goals without the looming threat of losing intellectual property or compromising customer data. By automating data loss prevention processes, we enable security teams to focus on strategic initiatives while ensuring that security violations are addressed proactively through automatic remediation and real-time user training.Supported by top-tier investors including Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, along with distinguished cybersecurity leaders such as Frederic Kerrest and Maynard Webb, Nightfall is positioned at the forefront of data security innovation.About the Role:As an Enterprise Customer Success Manager at Nightfall AI, you will take ownership of strategic relationships with our most significant customers, ensuring they derive tangible, measurable value from our AI-native data security platform. You will serve as a trusted advisor to leaders in security, compliance, and engineering, guiding them from the onboarding phase through to renewal and expansion efforts.This position is perfect for someone who excels in complex enterprise settings, possesses the ability to translate technical features into impactful business outcomes, and is eager to shape the future of Customer Success in a rapidly growing security company.What You'll Do:Oversee the entire customer journey, from onboarding and adoption to value realization, renewals, and expansions.Manage a portfolio of enterprise clients, focusing on adoption, retention, renewals, and growth.Lead the onboarding process and ensure early lifecycle success, establishing strong deployment, stakeholder engagement, and rapid time-to-value.Set and monitor customer success benchmarks (adoption milestones, risk mitigation, operational results) and provide regular updates on progress.Convert product usage data and outcomes into clear business value and ROI for clients.

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 be covered in traditional training. We are at the forefront of large-scale learning, robotics, and systems integration, boasting a research team that includes esteemed professionals from Stanford, Berkeley, Harvard, and other prestigious institutions. With over $400 million raised, we are committed to significantly investing in research and development, hardware innovation, and scaling up our manufacturing processes to realize our vision.We are seeking a talented mid-to-senior Application Engineer who will be instrumental in translating real-world customer use cases into effective intelligent robot deployments. You will engage in the design, prototyping, and enhancement of grippers, end-of-arm tooling, workstations, and integration hardware. Additionally, you will develop efficient strategies for robot learning and data collection, operating at the confluence of robotics, artificial intelligence, hardware, and deployment operations.

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.

Join Our Mission at Hippocratic AIHippocratic AI stands at the forefront of generative AI in healthcare, pioneering a revolutionary platform that enables safe and autonomous clinical interactions with patients. Our proprietary large language models (LLMs) within the Polaris constellation have achieved an unmatched accuracy of over 99.9%.Why Become Part of Our Team?Transform Healthcare Through Innovation. We are developing the first safety-first healthcare LLM, a groundbreaking initiative aimed at enhancing patient outcomes globally. Be part of a category-defining journey.Collaborate with Visionaries. Our founding team includes CEO Munjal Shah alongside esteemed physicians, hospital executives, AI innovators, and researchers from prestigious institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Supported by Premier Investors. Recently, we secured a $126 million Series C funding round at a valuation of $3.5 billion, led by Avenir Growth, totaling $404 million in funding with contributions from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and notable individual investors.Work with Top Talent in the Field. Collaborate with experts dedicated to improving healthcare, advancing scientific research, and creating transformative technologies that ensure our platform is both powerful and trustworthy.Location RequirementTo foster collaboration and a dynamic team culture, this position is based in our Palo Alto office five days a week, unless otherwise specified.About the RoleWe are seeking a talented AI Integration Engineer to connect healthcare data systems with our clinical AI platform. This role sits at the nexus of healthcare interoperability, system design, and data engineering, focusing on integrating EHRs, APIs, and analytics pipelines essential for scaling our AI models.As part of this role, you will work closely with delivery leads, product managers, and customer engineers to design and implement reliable integrations using contemporary interoperability standards. Your primary responsibilities will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You will also collaborate with offshore engineers to ensure timely and high-quality solution delivery.

Join Klaviyo as a Senior Lead AI Engineer and be at the forefront of creating innovative AI solutions that enhance customer experiences and drive business growth. In this role, you will lead a team of talented engineers, collaborating on cutting-edge AI technologies and methodologies. Your expertise will help shape the future of our AI initiatives, making a significant impact on our product offerings.

Hippocratic AI develops generative AI technology designed for healthcare, focusing on safe and autonomous clinical conversations between patients and providers. Their proprietary large language models, built within the Polaris constellation, have reached an accuracy rate above 99.9%. The company is mission-driven, working to create the first healthcare-specific, safety-focused LLM with the goal of improving patient outcomes around the world. Leadership includes physicians, hospital executives, AI researchers, and technologists from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is well-funded, having recently completed a $126M Series C round at a $3.5B valuation, with total funding now at $404M from investors including Avenir Growth, CapitalG, General Catalyst, a16z, and others. Collaboration is central to the company’s culture. Team members work closely with leaders in healthcare and AI, advancing both clinical care and technology. Location and On-site Requirement This Senior Staff AI Engineer position is based in Palo Alto. The role requires on-site presence five days a week to support close collaboration and maintain a strong team culture, unless otherwise specified. Role Overview The Senior Staff AI Engineer leads technical strategy for voice-driven generative AI in healthcare. This role designs and builds core platforms that enable clinically safe healthcare agents, integrating large language models, real-time voice systems, and human-centered product design. As one of the most senior individual contributors, this engineer drives initiatives in retrieval-augmented generation (RAG), agent orchestration, evaluation, real-time voice technology, and safety. Key Responsibilities Partner with the executive team, AI researchers, product managers, and clinical experts to define and execute technical vision Design and build core platforms for healthcare AI agents, focusing on safety and clinical accuracy Mentor Staff and Senior engineers, guiding architectural decisions for future platform generations Represent Hippocratic AI in research and healthcare forums, contributing to the evolution of healthcare AI The work in this role directly influences patient care and the development of safe, effective AI solutions in healthcare.

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.

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.

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.

Our PurposeAt Fiddler AI, we recognize the profound implications of artificial intelligence and its impact on human lives. Our mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, the potential for generalized intelligence has expanded, but so have the associated risks. Fiddler is dedicated to assisting organizations in navigating these challenges by providing reliable and transparent AI solutions.We collaborate with AI-centric organizations to establish a sustainable framework for responsible AI practices, fostering trust among their users. AI Engineers, Data Scientists, and business teams leverage Fiddler AI to monitor, evaluate, secure, analyze, and enhance their AI solutions, facilitating improved outcomes. Our platform empowers engineering teams and business stakeholders to comprehend the 'what', 'why', and 'how' behind AI results.Our FoundersFiddler AI was co-founded by Krishna Gade, a distinguished engineering leader from Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product visionary with a history at Microsoft, Samsung, PayPal, and as a two-time founder. Our venture is supported by prominent investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join UsJoining our innovative team means contributing to the mission of embedding trust into AI, thereby helping society harness its transformative power. You will play a crucial role in ensuring that AI applications deployed at scale across various industries maintain operational transparency and security. As an early-stage startup, we are rapidly expanding and proud of our dynamic team composed of intelligent and empathetic doers, thinkers, creators, and builders. The AI and ML sector is characterized by swift innovation, offering monumental learning opportunities. This is your chance to lead the way as a pioneer in this field.Fiddler is recognized as a trailblazer in AI Observability, having earned numerous accolades such as the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our talented team, you will contribute to shaping the future of AI Observability.‍ The Mission:As a Staff Data Platform Engineer, you will significantly impact the safety and return on investment of large language models and agentic applications across diverse verticals and domains. You will be at the forefront of designing and developing innovative tools that enhance the performance and reliability of AI systems.

Join Our Team: We are seeking a talented Prompt Engineer specialized in Applied AI, who is both a strategist and a technologist. In this pivotal role, you will design and develop the cognitive processes that guide AI agents in making decisions and executing actions within a dynamic production platform. Rather than working with abstract theories, you will delve deeply into the logic layers where strategic vision translates into tangible execution. This is not just another role at a startup; this is an opportunity to engage with enterprise-scale projects. The systems you create will operate within Fortune 100 sales organizations, driving significant revenue and processing billions of tokens for thousands of users in continuous production environments. Your expertise will shape the intelligence that operates behind the scenes: crafting reasoning frameworks, decision pathways, and instructional systems that transform raw models into reliable, scalable automation processes. If you thrive on the challenge of building AI solutions that power the sales engines of the world's leading enterprises, we want to hear from you.

DataHub is a pioneering AI & Data Context Platform utilized by over 3,000 enterprises, including industry leaders like Apple, CVS Health, Netflix, and Visa. Developed collaboratively with a robust open-source community of over 13,000 members, DataHub's metadata graph delivers comprehensive context for AI and data assets, ensuring unparalleled scalability and extensibility.Our enterprise SaaS solution, DataHub Cloud, provides a fully managed platform featuring AI-driven discovery, observability, and governance capabilities. Organizations depend on DataHub's solutions to expedite their data investments, guarantee AI system reliability, and establish unified governance, bringing order to data chaos.The CompanyAs the leading AI & Data Context Platform, DataHub is trusted by more than 3,000 enterprises, including notable names such as Apple, CVS Health, Netflix, and Visa. With a vibrant open-source community of over 13,000 contributors, our metadata graph technology offers exceptional scalability, extensibility, and detailed insights into AI and data assets.Our SaaS platform, DataHub Cloud, empowers organizations with AI-enhanced discovery, observability, and governance, enabling them to realize rapid value from their data and impose order on data complexity.As we continue to grow rapidly, we seek individuals who are not only technically proficient but also passionately customer-focused.The RoleWe are in search of a talented and innovative Customer Centric Engineer (CCE) to act as the vital link between our customers and Engineering teams. This position transcends traditional support roles; it is a hybrid position where you will deliver advanced troubleshooting, assist with onboarding, and collaborate with Engineering and Product teams to enhance the customer experience and contribute to the evolution of DataHub.

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.

Our MissionAt Fiddler AI, we recognize the profound effects of artificial intelligence on people's lives. Our founding mission is to instill trust in AI technologies. With the emergence of Generative AI and intelligent agents, there is a pressing need to address risks and ensure reliable functioning of AI applications. Fiddler empowers organizations to proactively tackle these challenges by delivering trustworthy and transparent AI solutions.We collaborate with AI-first organizations to establish a sustainable framework for responsible AI practices, fostering trust among their user communities. AI engineers, data scientists, and business teams utilize Fiddler AI to monitor, assess, secure, analyze, and enhance their AI solutions for superior outcomes. Our platform equips both engineering teams and business stakeholders with insights into the "what", "why", and "how" behind AI results.About Our FoundersFounded by Krishna Gade (engineering leader at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (product leader at Microsoft, Samsung, PayPal, and a two-time founder), Fiddler AI is backed by renowned investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why You Should Join UsOur passionate team is dedicated to integrating trust into AI, empowering society to leverage its capabilities. By joining us, you will play a crucial role in ensuring operational transparency and security for AI applications deployed at scale across various industries. As an early-stage startup, we boast a rapidly expanding team of intelligent, empathetic innovators, thinkers, and builders. The AI and ML sectors are advancing quickly, offering immense learning opportunities. This is your chance to be at the forefront of innovation.Recognized as a trailblazer in AI Observability, Fiddler has garnered several prestigious accolades including the 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, the 2020 WEF Technology Pioneer, the 2020 Forbes AI 50 most promising startups, and being named a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our exceptional team, you will contribute significantly to the evolution of AI Observability.Your RoleAs Fiddler continues its growth trajectory, we are in search of talented, passionate individuals across various functions. This evergreen requisition invites you to apply and become part of our innovative team.

Join Klaviyo as a Lead AI Engineer, where you will spearhead innovative AI projects and lead a talented team of engineers. In this pivotal role, you will be responsible for designing, developing, and deploying cutting-edge AI solutions that enhance our products and services.

Our VisionAt Fiddler AI, we recognize the profound implications of artificial intelligence on human lives. Our mission is to instill trust in AI systems. As Generative AI and intelligent agents evolve, they introduce generalized intelligence, but also increase the challenges in ensuring that AI applications function effectively. We empower organizations to proactively address these challenges by delivering reliable and transparent AI solutions.We collaborate with AI-driven organizations to establish sustainable frameworks for responsible AI practices, ultimately fostering trust among their users. Our platform is utilized by AI engineers, data scientists, and business teams to monitor, assess, secure, analyze, and enhance their AI solutions for improved outcomes. This enables both engineering teams and business stakeholders to comprehend the “what,” “why,” and “how” of AI results.Our FoundersFounded by Krishna Gade, an engineering leader with experience at Facebook, Pinterest, Twitter, and Microsoft, and Amit Paka, a product leader with a background at Microsoft, Samsung, and PayPal, Fiddler AI is backed by esteemed investors including Insight Partners, Lightspeed Venture Partners, and Lux Capital.Why Join Our Team?Joining Fiddler means becoming part of a mission-driven team dedicated to building trust in AI, enabling society to harness its potential. You will have the opportunity to make a significant impact by ensuring that AI applications, at scale across various industries, maintain operational transparency and security. As an early-stage startup, we offer a dynamic environment filled with intelligent, empathetic individuals who are doers, thinkers, creators, and builders. The fast-paced AI and ML industry presents tremendous learning opportunities and a chance for you to be at the forefront of innovation.Fiddler is recognized as a leader in AI Observability, garnering numerous accolades including being listed in the 2022 a16z Data50, the 2021 CB Insights AI 100 most promising startups, and receiving the 2020 WEF Technology Pioneer designation, among others. By joining our talented team, you will play a pivotal role in shaping the future of AI Observability.‍ The Mission:Our AI engineers significantly influence the safety and return on investment of large language models and intelligent applications across diverse sectors. You will be at the cutting edge, conceptualizing and developing innovative tools and algorithms.

About xAIAt xAI, we are on a mission to develop advanced AI systems that can profoundly comprehend the universe and support humanity in its quest for knowledge. Our team is compact yet highly driven, emphasizing engineering excellence and innovation. We seek individuals who relish challenges and thrive on curiosity, contributing directly to our mission in a collaborative, flat organizational structure. Initiative and a commitment to delivering outstanding results are paramount. Strong communication skills are essential, enabling team members to convey knowledge effectively and precisely. About the RolexAI has pioneered the creation of a 100k GPU cluster on an Ethernet network, achieving this remarkable feat twice in just 92 days. We are currently seeking an experienced engineer proficient in RoCEv2 to scale our operations while enhancing performance and reliability.Our rapid development pace with cutting-edge hardware is crucial in deepening our understanding of the universe. To achieve our next major breakthrough, we must take charge of our network performance and availability, optimizing them for our training models and customer inference queries. Your role will predominantly involve diving deep into NCCL, creating metric dashboards, and fine-tuning configurations to maximize performance. You will play a pivotal role in designing the next generation of our backend and front-end networks, enabling seamless expansion of our GPU infrastructure with minimal engineering intervention.Expect considerable travel to Memphis for capacity expansion, participation in team on-call rotations, and assistance with scaling and maintenance initiatives. This position promises to be both dynamic and rewarding.

About Rhoda AI Rhoda AI is building the next generation of humanoid robots, combining high-performance, software-defined hardware with advanced foundational and video world models. Our robots are designed to adapt to real-world environments and handle new, untrained scenarios. The team includes researchers from Stanford, Berkeley, and Harvard, working together to create a new computing platform for physical work. With over $400 million raised, Rhoda AI is investing heavily in research, hardware innovation, and scaling up manufacturing. Role Overview: Junior Mechanical Engineer This is a hands-on role based in Palo Alto. The Junior Mechanical Engineer will help design and improve our Generation 0 robot platform. The work focuses on integrating third-party components, such as rails, cables, and fixtures, while keeping safety, reliability, and streamlined system design in mind. The role also involves designing and iterating custom end effectors, fingers, and mounts for a range of tasks. As part of a small, focused team, this engineer will have significant ownership of hardware projects from the ground up. What You Will Do Develop and refine mechanical components and assemblies for robotic systems, including cable management, rail systems, fixtures, and integration hardware. Design custom end effectors, fingers, and mounting hardware for specific tasks, managing the prototyping process from concept through testing. Integrate third-party components into the overall system, ensuring compatibility and function with existing hardware. Identify and implement design improvements with an emphasis on safety, reliability, and manufacturability. Create and maintain CAD models, drawings, and Bills of Materials (BOMs) to support design reviews and manufacturing. Participate in quality assurance and hardware testing: set up tests, collect data, and document results. Assist with root cause analysis for hardware issues and suggest design changes. Collaborate with senior mechanical, electrical, and software engineers to ensure designs meet full-system requirements.

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.