Infrastructure Engineer

About Meshy

Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.

Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.

Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.

Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.

About the Role

We’re looking for an Infrastructure Engineer to help us design, build, and scale the foundational architecture that powers our next-generation AI systems. This role is ideal for someone who thrives in a fast-paced, engineering-driven environment and finds joy in creating robust, elegant systems from scratch.

What You’ll Do:

• 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).

What We're Looking For (Intermediate):

• Strong communication skills and a collaborative, self-motivated mindset.
• Hands-on experience with AWS services (e.g., EC2, S3, EKS, IAM, RDS, CloudFront).
• Familiar with Kubernetes in daily operations.
• Programming ability in Python.

What We're Looking For (Senior):

• Strong communication skills and a collaborative, self-motivated mindset.
• 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.

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.
• Located in or near one of our employee hubs — Bay Area, CA; Seattle, WA; New York, NY (NJ); Vancouver or Toronto, Canada.

Our Values

• Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
• Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
• Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
• Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.

Why Join Meshy?

• Competitive salary, equity, and benefits package.
• Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.
• Flexible work environment, with options for remote and on-site work.
• Opportunities for fast professional growth and development.
• An inclusive culture that values creativity, innovation, and collaboration.
• Unlimited, flexible time off.