Full Stack Engineer

Digital Waffle; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Early-stage equity

Flexible PTO

Apple kit

Team dinners

Job summary

Digital Waffle is seeking a Software Engineer to build the video intelligence platform’s core systems, blending backend processing with AI-native features and scalable frontends. You’ll own data pipelines, ML interfaces and real-time detections, shipping end-to-end solutions.

Based in Sunnyvale, CA, this on-site role requires Go/Python/C++, modern frontend stacks, and cloud-native infra. Join a fast-growing startup offering equity and a highly collaborative, tech-forward culture.

Qualifications

• Strong Go, Python or C++ and real experience with modern frontend stacks.
• Experience with distributed systems, containers and cloud-native infra.
• Startup experience building from scratch or scale-up experience.
• Fluency with AI-assisted development and opinions on where it works.
• Ability to work on-site in Sunnyvale, CA.

Responsibilities

• Backend services ingesting, processing and serving video and sensor data at scale.
• AI-native features shipped end to end including real-time detections and AI-assisted workflows.
• User-facing frontends in TypeScript and React, collaborating with product.
• APIs and systems interfacing with ML pipelines and edge device fleet.
• Distributed systems with high availability and ground-up architectural decisions.

Skills

Go

Python

C++

Frontend stacks

Distributed systems

React

Tools

Kubernetes

AWS

Pulumi

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.