Software Engineer

🌍 Software Engineer (Systems) | AI Video Infrastructure | San Francisco (In-Person)

We’re building the systems that power the next generation of video intelligence. As video continues to dominate the internet - driving entertainment, robotics, AR/VR, and social platforms - the demand for smarter, faster, and more scalable video infrastructure has never been higher.

Our team works with leading AI companies to develop large-scale data pipelines and tools that enable advanced video understanding. With rapid growth, strong investor backing, and a tight-knit team, we’re scaling fast and looking for engineers who want to push technical boundaries.

Tech: Python, Go, TypeScript, distributed systems, cloud infrastructure (AWS/GCP/Azure), GPU clusters, ML + ETL pipelines, CI/CD, Git

💡 Why join

• Build distributed systems at the frontier of AI and video
• Work on massive-scale ML + data infrastructure
• Join a high-growth Series A startup with strong momentum
• In-person, high-collaboration culture in San Francisco

🚀 What you’ll do

• Design and manage distributed systems powering large-scale ML + ETL pipelines
• Optimize performance, reliability, and cost across high-throughput environments
• Build internal tools and CI/CD pipelines for rapid iteration
• Collaborate with leading AI researchers and engineers

💰 Compensation: Up to $250k base, depending on experience

If building infrastructure that powers the future of AI and video excites you - we’d love to chat.