Yotta jobs

AI Developer Advocate United States | Remote | Canada | Mexico | Argentina | Brazil Location: Remote (Global) Type: Full-time Company: Yotta Labs Apply: [email protected] 🧠 About Yotta Labs Yotta Labs is building next-generation AI infrastructure to power the world's most demanding AI workloads. We provide high-performance GPU compute and Model API services, enabling AI companies, research labs, and enterprises to train and deploy cutting-edge models at scale. Our platform aggregates geo-distributed GPU resources-from commodity to high-end accelerators-and offers elastic, cost-effective access to AI compute. We also provide production-ready Model APIs for major large language models (LLMs) with customizable endpoints, making it easy for customers to integrate state-of-the-art AI capabilities into their products. 🛠️ Role Overview We are seeking an AI Developer Advocate passionate about AI, decentralization, blockchain, community engagement, and education. In this role, you will develop tutorials, documentation, and resources to empower developers and engage directly with the AI community to drive adoption and innovation on the Yotta platform. As a passionate AI fan and developer advocate, you will connect the dots between the technical solution to business value for the user and become a hands-on creator of the future of GPU Computing in the AI era. 🎯 Responsibilities - Create engaging tutorials, examples, and documentation to help developers easily integrate and utilize Yotta's AI infrastructure. - Build and nurture relationships with developers, researchers, and partners within the AI, blockchain and decentralized tech communities. - Deliver compelling presentations, webinars, and workshops to educate the community about the capabilities

Research Engineer - Decentralized AI Systems United States | Remote | Canada | Argentina | Brazil | Mexico Location: Remote (Global) Type: Full-time Company: Yotta Labs Apply: [email protected] 🧠 About Yotta Labs Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale. Our mission is to democratize access to AI resources by aggregating geo-distributed GPUs, enabling high-performance computing for AI training and inference on a wide spectrum of hardware-from commodity to high-end GPUs. Our platform supports major large language models (LLMs) and offers customizable solutions for new models, facilitating elastic and efficient AI development. 🛠️ Role Overview We are seeking a Research Engineer with a passion for decentralized systems and AI infrastructure. In this role, you will contribute to the development of our DeOS framework, focusing on optimizing AI workloads across a heterogeneous network of GPUs. Your work will directly impact the scalability and performance of AI applications deployed on our platform. 🎯 Responsibilities - Design and implement components of the DeOS for efficient AI workload orchestration. - Develop and optimize software for managing geo-distributed, heterogeneous GPU resources. - Collaborate with cross-functional teams to integrate support for various LLMs and AI models. - Ensure high availability and fault tolerance in decentralized computing environments. - Contribute to open-source projects and engage with the developer community. ✅ Qualifications - Proficiency in AI programming languages such as Python - Experience with distributed systems, cloud computing, or blockchain technologies. - Familiarity with AI frameworks

GPU Cloud Platform Engineer United States | Remote | Canada | Argentina | Brazil | Mexico Location: Remote (Global) Type: Full-time Company: Yotta Labs Apply: [email protected] 🧠 About Yotta Labs Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for AI workload orchestration at a planetary scale. Our mission is to democratize access to AI resources by aggregating geo-distributed GPUs, enabling high-performance computing for AI training and inference on a wide spectrum of hardware-from commodity to high-end GPUs. Our platform supports major large language models (LLMs) and offers customizable solutions for new models, facilitating elastic and efficient AI development. 🛠️ Role Overview We are seeking a GPU Cloud Platform Engineer to join our core infrastructure team and help build the next-generation AI compute cloud. In this role, you will design, deploy, and operate large-scale, multi-cluster GPU infrastructure across data centers and cloud environments. You will be responsible for ensuring high availability, performance, and efficiency of containerized AI workloads-ranging from LLMs to generative models-deployed in Kubernetes-based GPU clusters. If you're passionate about high-performance systems, distributed orchestration, and scaling real-world AI infrastructure, this role offers a unique opportunity to shape the backbone of our AI cloud platform. 🎯 Responsibilities - Build and operate large-scale, high-performance GPU clusters; ensure stable operation of compute, network, and storage systems; monitor and troubleshoot online issues. - Conduct performance testing and evaluation of multi-node GPU clusters using standard benchmarking tools to identify and resolve performance bottlenecks. - Deploy and orchestrate large models (e.g., LLMs,

Sales Manager – GPU Compute & AI Model APIs United States | Remote Location: Remote (North America) Type: Full-time Company: Yotta Labs Apply: [email protected] 🧠 About Yotta Labs Yotta Labs is building next-generation AI infrastructure to power the world's most demanding AI workloads. We provide high-performance GPU compute and Model API services, enabling AI companies, research labs, and enterprises to train and deploy cutting-edge models at scale. Our platform aggregates geo-distributed GPU resources-from commodity to high-end accelerators-and offers elastic, cost-effective access to AI compute. We also provide production-ready Model APIs for major large language models (LLMs) with customizable endpoints, making it easy for customers to integrate state-of-the-art AI capabilities into their products. 🛠️ Role Overview We are hiring a Sales Manager - GPU Compute & AI Model APIs to drive revenue growth and build our sales function from the ground up. You will own two core revenue lines: GPU compute sales (on-demand and reserved GPU capacity for AI training and inference) and Model API sales (managed API access to leading LLMs and custom models). This is a hands-on role-you'll be directly engaging customers, closing deals, and growing accounts while helping shape our go-to-market strategy. As a core member of a lean startup team, you'll combine frontline sales execution with strategic input on product and pricing. Ideal for someone who loves building and isn't afraid to roll up their sleeves. 🎯 Responsibilities - Own the full sales lifecycle for both GPU compute and Model API products-from prospecting and qualifying leads to

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