Founding Full Stack Engineer

Digital Waffle; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Flexible PTO

Apple kit

Unlimited tech stack

Team off-sites

Job summary

Digital Waffle is building multimodal video intelligence systems from the ground up in Sunnyvale. You will own core backend services in Go/Python/C++, build real-time AI-enabled features, and craft user interfaces in TypeScript/React.

You’ll design APIs that tie ML pipelines to edge devices while ensuring distributed, reliable operation. The role blends system architecture with hands-on coding, requiring startup rigor, strong ownership, and a passion for practical AI in a hardware-aware world.

Qualifications

• Strong Go, Python or C++, plus real experience with modern frontend stacks.
• Comfort with distributed systems and cloud-native infrastructure.
• Startup or scale-up experience with end-to-end ownership.
• Fluency with AI-assisted development and solid architectural judgment.
• Able to work on-site in Sunnyvale.

Responsibilities

• Backend services ingesting, processing and serving video and sensor data at scale.
• AI-native features shipped end to end — NL search, real-time detections, agentic workflows.
• User-facing frontends in TypeScript and React, collaborating with product.
• APIs and systems interfacing with ML pipelines and edge devices.
• Distributed, real-time processing with high availability by design.

Skills

Go

Python

C++

Frontend stacks

Distributed systems

Cloud-native

Tools

Kubernetes

Pulumi

TypeScript

React

Job description

Most computer vision companies are still shipping motion alerts. Our client is putting multimodal LLMs on every camera and sensor — natural-language video search, real-time firearm detection, intelligent access control, agentic workflows that actually do something when they see it. They're pointing that at a $50B legacy industry that hasn't meaningfully changed in twenty years.

About the Role

Software Engineer on the core engineering team, building the systems behind the video intelligence platform. Genuinely full-stack and genuinely hard:

Responsibilities

• Backend services ingesting, processing and serving video and sensor data at scale
• AI-native features shipped end to end — natural-language search, real-time detections, agentic workflows on multimodal LLMs and computer vision
• User-facing frontends in TypeScript and React, working directly with product
• APIs and systems interfacing with the ML pipelines and the edge device fleet
• Distributed systems, real-time processing and high availability, with architecture decisions made from the ground up

The stack

• Go, Python or C++ on the backend
• TypeScript and React with react-query and Tailwind on the front
• Kubernetes on AWS, Pulumi for infrastructure as code

Qualifications

• Strong Go, Python or C++, plus real experience with modern frontend stacks
• Comfort with distributed systems, containers and cloud-native infrastructure
• Startup experience building from scratch, or scale-up experience and a clear sense of what good looks like
• Fluency with AI-assisted development — and opinions on where it works and where it doesn’t
• A real understanding of performance, reliability and clean architecture
• Ability to work on-site in Sunnyvale

Who’s behind it

Founded by two ex-autonomous vehicle engineers from a major ride-hailing platform, both with PhDs from top-tier universities. Backed by well-known tier-one funds, over $65M raised, and named to the CB Insights AI 100 as one of the most promising AI companies in the world.

Pay range and compensation package

Early-stage equity, flexible PTO, the latest Apple kit and an unlimited tech stack. Daily team dinners and regular off-sites — a team that’s in the room together, on purpose.

Equal Opportunity Statement

If you want your code doing something in the physical world rather than optimising a funnel, this is that job.