Software Engineer

About Rabot

Rabot builds vision AI for warehouse packing operations. Cameras watch the pack line, software figures out where things are slow or wrong, and operators get real-time feedback that actually changes how they work. Customers stick around because it measurably improves their output.

We're venture-backed with distribution partnerships with major industry players. The product works. Now we need engineers to build what's next.

The role

You'd work on the customer-facing product. The software that warehouse operators, managers, and executives interact with every day. Dashboards, real-time views, configuration, analytics, integrations. This is the layer between our AI and the people who use it.

The team is small. You'll ship features end to end: spec it out with product, build it, deploy it, and hear directly from customers whether it works. There's no handoff chain. You own your code from commit to production.

3+ years of experience required. We care less about where you worked and more about what you've built.

In-person in Arlington, TX. Not remote.

What you'll do

• Build and ship features in the customer-facing product. Full stack: frontend, backend, cloud infrastructure.
• Work directly with product and customers to understand what needs to be built and why.
• Own what you ship. You deploy it, you monitor it, you fix it when it breaks.
• Write code that other people can read and maintain. The team is small and everyone touches everything.
• Improve the development and deployment pipeline as you go. CI/CD, testing, observability.
• Use AI tools in your workflow. We expect it. They're good at the boring parts.

Who you are

• You have 3+ years of professional software engineering experience. You've shipped production software that real users depend on.
• You're strong across the stack. Not just tutorials. You've built and maintained real applications.
• You're comfortable with cloud infrastructure. Deploying, scaling, debugging production systems.
• You write clean code and you care about it, but you don't let perfect get in the way of shipped.
• You can work across the stack. Frontend one day, backend the next, infrastructure when it needs fixing.
• You communicate clearly. Small team means you talk to product, customers, and other engineers directly.
• You figure things out. When you hit something you haven't seen before, you dig in instead of waiting for help.

Nice to have

• Experience building B2B SaaS products. You understand multi-tenant systems, customer configuration, and the difference between consumer and enterprise software.
• You've worked with real-time data or video/image pipelines.
• Background in or exposure to computer vision, AI/ML, or IoT systems.
• Experience with warehouse, logistics, or industrial software.
• You've worked at a startup before and know what shipping fast with a small team actually looks like.

What we offer

• Base salary plus equity. A real stake, not a token grant.
• You'd build the product customers interact with every day at a company with clear traction.
• Direct access to founders and customers. Short feedback loops.
• AI tools and a team that uses them. We build AI products and we use AI to build them.
• A small team where your work is visible and your opinions matter.
• Comp

We want someone who bets on themselves. If you're optimizing purely for guaranteed base, this probably isn't the right fit. If you want equity in a company you can directly make better with your code, this structure works.

How to apply

Send us two things:

• Something you've built that you're proud of. Could be a feature, a system, a side project, open source work. What was it, what decisions did you make, and what would you do differently?
• You're designing a dashboard that shows warehouse managers real-time packing performance across many stations. What's your approach to keeping it fast? Keep it under a page.