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Monitor and manage GPU hardware inventory across decentralized data centers, track lifecycle of GPUs, develop system for tracking outages, work with engineering and operations to resolve issues, maintain supplier relationships, prepare billing summaries.

Systems Research Engineer specialized in GPU Programming, responsible for developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Co-design GPU kernels and model architecture to enhance performance and efficiency of AI systems. Contribute to co-design of efficient GPU architectures and programming models. Stay up-to-date with latest advancements in GPU programming techniques.

Together AI is seeking a Senior Backend/Distributed Systems Engineer to build and maintain the codebase for the Together Cloud services. Responsibilities include designing core software components, conducting architecture research, and improving system efficiency. Requires 5+ years of experience in high-performance code development and expertise in Go, Python, Rust, or C. Bachelor's or Master's degree in relevant field.

Drive AI innovation by securing strategic deals with startups, generate pipeline & win new business, work cross-functionally with product & engineering teams, contribute to product roadmaps, collaborate with SDR team, and exceed revenue quotas.

As an AI Solutions Architect at Together AI, you will drive the adoption of generative AI by working with customers to build and deploy AI models at scale. Responsibilities include leading PoCs, providing technical guidance, and shaping innovative solutions. Requires 5+ years of experience in ML or AI development and applications.

Senior DevOps Engineer responsible for developing and optimizing cloud infrastructure for AI workloads on distributed GPU hardware. Requires 5+ years of DevOps experience, proficiency in programming languages, and expertise in CI/CD, cloud computing, and Kubernetes.

AI Researcher responsible for developing novel architectures, system optimizations, and algorithms to push the frontier of open models. Collaborate with cross-functional teams and stay updated on the latest advancements in machine learning. Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or related field required.