Job Opportunities API

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 Preferred Qualifications Experience with robotics, autonomous vehicles, or other safety-critical systems Hands-on experience with simulation environments (Gazebo, CARLA, Isaac Sim, or proprietary) Familiarity with pub/sub messaging systems (ZMQ, ROS, DDS) and binary serialization formats (Cap'n Proto, Protobuf) C++ familiarity — enough to read and integrate against the autonomy stack Cloud infrastructure experience for parallel test execution (AWS/GCP, Kubernetes) Experience with hardware-in-the-loop testing or real-time systems Performance engineering background — you've debugged and optimized slow CI/test pipelines before Technical Environment Languages: Python Test Frameworks: pytest, simulation-based Infrastructure: Docker, GitHub Actions, cloud compute for simulation Communication/Documentation: Slack, Notion Example Projects Build a simulation harness that runs the full autonomy stack against parameterized mining scenarios in cloud-based parallel execution Design a log-to-test-case pipeline that ingests a production log fragment and produces a deterministic replay test the QA Engineer can add to a regression suite Build a test platform dashboard that surfaces flaky tests, slow tests, and coverage gaps to the QA Engineer and developer lead   Why join us  Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators.   What else you need to know  This role is based in our