2 months ago
Responsibilities
- Build real-time collaboration and canvas tooling for node-based creative tools.
- Develop tooling using WebGL2, WebGPU, and CRDTs.
- Ship durable execution for long-running workflows and public APIs.
- Generate OpenAPI documentation from Zod schemas.
- Extend features into Python ML inference on GPU clusters and the multi-cloud Kubernetes setup as needed.
- Own cross-service metrics, tracing, and observability for shipped features.
Requirements
- At least four years of software engineering experience, ideally including at least one year contributing to a product with millions of users.
- Significant experience with Svelte or React.
- Strong first-principles thinking and product sense rather than attachment to a specific framework.
- Ability to own work end-to-end from idea through launch and measured impact.
- Clear written and verbal communication.
- A strong, well-developed point of view on creative work.
- Preferred: Python, PyTorch, or GPU-backed ML inference experience.
- Preferred: creative background in design, art, architecture, or a similar field.
Benefits
- Full-time, in-person work at Krea's waterfront office in San Francisco.
- Competitive salary and equity packages.
- 100% of employee health insurance premiums and 99% of dental and vision premiums covered.
- Health FSA accounts and long-term disability coverage.
- Flexible PTO policy.
- 401(k) with a 4% company-sponsored match.
- Breakfast, lunch, and dinner provided at the office.
- Ubers covered to and from the office.
- Potential sponsorship for international visas, including STEM OPT, OPT, H-1B, O-1, and E-3.
- Benefits and perks listed apply to full-time employees.
Tech Stack
Categories
Product Engineering
About Krea
Krea builds a generative-AI creative platform for designers, marketers, and product teams to generate, edit, and enhance images, video, and 3D content. It offers browser-based tools and APIs under subscription plans for individuals and businesses, pairing a research lab’s models with production-grade infrastructure. Privately held and headquartered in San Francisco, the company operates 1000+ Kubernetes GPU clusters and petabyte-scale data pipelines to serve real-time creative workflows.