Senior Infrastructure Engineer

August 8

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MeshyAI

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AR/VR • Gaming • Artificial Intelligence

MeshyAI is a cutting-edge platform that enables users to generate detailed 3D models and animations from text prompts or images effortlessly. It offers various tools such as text-to-3D model creation, image-to-3D conversion, and AI texturing, making it an essential resource for game developers, 3D printing enthusiasts, and XR creators. MeshyAI aims to streamline the 3D design process with fast, user-friendly interfaces and API integrations, fostering creativity in a vibrant community of creators around the world.

11 - 50 employees

🥽 AR/VR

🎮 Gaming

🤖 Artificial Intelligence

📋 Description

• Build and maintain stable, scalable, and highly available compute infrastructure, spanning cloud (AWS) and bare metal environments. • Design and operate efficient storage solutions for large-scale AI training datasets and checkpoints. • Develop high-performance online inference systems, optimizing for diverse GPU environments (e.g., H100, B200). • Automate infra workflows to maximize reliability, observability, and performance across our platform. • Collaborate closely with AI researchers and backend engineers to support evolving model deployment and experimentation needs. • Lead and contribute to internal tooling, CI/CD pipelines (e.g., GitHub Actions), and monitoring infrastructure (e.g., Grafana, Prometheus, OpenTelemetry).

🎯 Requirements

• 3 years+ of experience in DevOps / SRE / Infra. • Strong programming ability in Python or Golang (must be proficient in at least one). • Production-level experience with Kubernetes in daily operations. • Deep understanding of modern DevOps / SRE / Infra principles, especially around scalability, automation, and fault-tolerance. • Hands-on experience with AWS services (e.g., EC2, S3, EKS, IAM, RDS, CloudFront). • Ability to work independently, lead projects, and become a subject matter expert. • Strong communication skills and a collaborative, self-motivated mindset. • Nice to Have • A tinkerer’s spirit - you enjoy hacking, experimenting, and building things for fun or learning. Examples we value: • Running your own home lab or mini data center. • Building clever side projects or open-source tools. • Writing high-quality technical articles or contributing to public repos. • Developing lightweight, efficient tooling for infra monitoring or ops. • Contributions to the open-source community or prior experience maintaining open/closed source systems. • Familiarity with model training workflows (e.g., LLMs, GPUs, large data IO). • Interest in working directly with AI researchers and understanding model performance trade-offs.

🏖️ Benefits

• Competitive salary, benefits and stock options. • Comprehensive health, dental, and vision insurance.