Data Infra Engineer Intern

Software Engineer Intern

We are seeking a Software Engineer Intern to join our Data Infra team and help improve our model evaluation and visualization platform. You will act as the engineering counterpart to a cutting-edge research team, enforcing standards and building infrastructure to empower evaluation of the next generation of 3D models. You will work across backend, infrastructure, frontend, and performance to build foundations for product iteration.

You will be paired with a senior engineer who owns the platform, and you will ship real features end-to-end alongside them. You will thrive in our fast-paced startup environment, where problem-solving, adaptability, and AI-assisted development are the norm.

You'll Gain Exposure To

• AI-assisted software development at production scale — Claude Code, custom skills, agent-driven workflows
• Cloud infrastructure on AWS — S3, IAM, multi-region patterns
• Production databases (Postgres) and data-migration patterns
• Kubernetes and container orchestration
• CI/CD pipelines and deployment automation
• Web performance engineering and 3D asset delivery
• Modern Python web stack — FastAPI, HTMX, Jinja2, Tailwind

What Projects You'll Work On

• Design and operate CI/CD pipelines covering lint, type-check, tests, container builds, and deployment to Kubernetes
• Build and evolve the data layer — relational schemas, migrations, S3-backed asset storage, and safe cutover strategies
• Stand up and operate multi-region web services — replication, CDN, region-aware routing, and per-region observability
• Improve API performance and reliability — query optimization, caching, and signed-URL access patterns
• Profile and optimize web application performance — page load, Web Vitals, lazy loading, prefetching, and caching
• Optimize delivery of large 3D/2D assets — format selection, compression, and level-of-detail strategies
• Build user-facing features in collaboration with researchers and data scientists; iterate on UI/UX based on their feedback

What Makes the Work Interesting

• You serve as the engineering counterpart to a cutting-edge research team — your infrastructure directly shapes how the next generation of 3D models gets evaluated
• Real-world performance challenges unique to 3D — large asset delivery, WebGL rendering, cross-region latency
• Multi-region cloud architecture with measurable cost and latency trade-offs
• Direct collaboration with researchers and data scientists — fast feedback loops, no PM funnel
• Pair-programming with a senior engineer mentor — learn by shipping real features together, not by watching
• A team that uses Claude Code, custom skills, and agent-driven workflows daily — see what AI-native engineering looks like in practice

Qualifications

• Currently pursuing or recently completed a degree in Computer Science or a related technical field
• Strong Python — typing, async, idiomatic code, debugging
• Solid SQL fundamentals — schema design, indexing, query optimization (can read EXPLAIN plans)
• Comfortable with web fundamentals — browser model, client/server boundaries, caching semantics
• Fluent in Git (branching, rebasing, code review etiquette) and the Linux CLI
• AI-native engineer — writes good prompts, reviews agent diffs critically, knows when to override the agent. This is the meta-skill that makes the rest of the stack learnable on the job
• Strong curiosity, ownership mindset, and willingness to learn quickly in a fast-paced startup environment
• Strong problem solver who enjoys ambiguous challenges and "0 to 1" building

Nice to Have

• AWS in production — IAM, S3, multi-region patterns
• Postgres (or another relational DB) used in a real production setting
• Web performance debugging — has profiled a slow page before, reads flame graphs, knows Web Vitals
• Three.js / WebGL exposure — helpful for 3D viewer performance work
• Kubernetes basics — kubectl + understanding pods, services, deployments
• Experience with personal projects, hackathons, open-source contributions, or research projects
• Familiarity with CI/CD pipelines, observability tooling, or cloud security concepts
• Exposure to data lakehouse platforms (Databricks, Databricks Asset Bundles)
• Experience with 3D/2D asset processing (geometry transformations, rendering pipelines)
• Familiarity with GPU-accelerated computing

Location

• Based in the San Francisco Bay Area — this role is on-site / hybrid.

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.

Benefits

• Comprehensive health, dental, and vision insurance.
• The latest and best office equipment.