Fullstack Software Engineer - Logistics & Computer Vision

Triumph Arcade; California; On-site; USD 110,000 - 170,000; Full time

Job summary

Triumph is seeking a full‑stack engineer to scale our logistics tooling, automate operations, and extend our computer vision for card identification. You’ll work across Go backend, React frontend, and React Native apps, with ownership of internal dashboards and tooling.

This role blends hands‑on coding with shaping projects in a fast, on‑site environment in Mountain View/Fremont, CA. You’ll thrive in ambiguity, own your work, and leverage AI as a tool, not a crutch, delivering real value to a

Qualifications

• 1–5 years of full stack web development experience.
• Comfort with ambiguity and ownership; you shape loosely defined projects.
• Fluency with AI as a tool, able to explain every line that ships under your name.

Responsibilities

• Build and scale the tooling that runs logistics: vendor intake, validation, fulfillment, and third party logistics integrations.
• Automate manual operations processes, working alongside mechanical engineering, to increase how much Triumph can ship.
• Extend our computer vision system for identifying cards from a photograph, expanding it beyond its current scope to additional trading card games.
• Build event and experiential tools, like the iPad pack rip we ran at Collect-A-Con, and help shape what comes next.
• Own and improve the internal dashboard and other internal tooling as the team's scope grows.
• Work across the whole stack. We also maintain a few iOS apps, which the team built along the way.

Skills

Full stack web development

Job description

Triumph is seeking a full‑stack engineer to scale our logistics tooling, automate operations, and extend our computer vision for card identification. You’ll work across Go backend, React frontend, and React Native apps, with ownership of internal dashboards and tooling.

This role blends hands‑on coding with shaping projects in a fast, on‑site environment in Mountain View/Fremont, CA. You’ll thrive in ambiguity, own your work, and leverage AI as a tool, not a crutch, delivering real value to a