Job description

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 San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $176,000 - $242,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

Requirements

Must-haves

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

Nice-to-haves

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

Application prep

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Keywords to mirror

aici/cdpythonawsgcpkubernetesdocker

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave