Robotics Test Engineer
Listed on 2026-07-02
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Software Development
DevOps, Software Testing, Unix/Linux
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.
Whatyou’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
- 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
- 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
- Languages: Python
- Test Frameworks: pytest, simulation‑based
- Infrastructure: Docker, Git Hub Actions, cloud compute for simulation
- Communication/Documentation: Slack, Notion
- 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
- 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.
- 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
- Team lunch in our SoMa office every Tuesday and Thursday
This role is based in our San Francisco office location. The base salary range for this role is $298,000 - $376,000 per year, with additional equity awards and an annual performance‑based bonus. Base salary is just one part of your total rewards package.
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