Senior Robotics Test Engineer

Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide.

While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field.

We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company.

What you’ll do

• Test Platform & Infrastructure — Design and build the core test infrastructure: harnesses, fixtures, runners, orchestration, and test artifact management for our ZMQ/Cap'n Proto middleware stack
• Simulation-Based Testing — Build the simulation infrastructure that lets us run autonomy software against virtual scenarios, with deterministic playback and meaningful coverage of real-world conditions
• CI/CD for Robotics — Build and maintain the testing pipeline that gates code changes — unit, integration, simulation, and replay-based regression — and integrate it cleanly into the developer workflow
• Log Replay & Recorded Scenario Testing — Build infrastructure that converts production logs into reproducible test cases the QA Engineer can curate and the dev team can run

What we’re looking for

• 3+ years of software engineering experience, with significant work on testing infrastructure, developer tools, or distributed systems
• Strong Python — you'll write substantial code, much of it touching production-adjacent infrastructure
• Experience designing and building automation pipelines (CI/CD, test orchestration, build systems)
• Deep familiarity with at least one large-scale software platform — comfortable thinking in terms of APIs, abstractions, and platform usability
• Excellent debugging and systems thinking — you'll be reasoning about failures across simulation, networking, serialization, and CI infrastructure
• Comfort building greenfield — much of what you'll work on does not exist today