Senior Robotics Test Engineer: Production Autonomy Tests

Pronto; San Francisco (CA); On-site; USD 176,000 - 242,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k)

Equity

Sick Time

Paid Holidays

Parental Leave

Pre-Tax Commuter Benefit

Team lunch in office

Job summary

Pronto AI, based in San Francisco, seeks a software engineer to design and maintain testing infrastructure for autonomous vehicle software. You will build core test harnesses, run simulation-based tests, and implement pipelines that gate code changes across unit, integration, and replay-based tests.

You will work with Python as a primary language, contribute to a distributed, platform-driven system, and help shape the engineering workflow for fast, safe autonomy development.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

CI/CD

Distributed systems

APIs

Debugging

Greenfield

Tools

pytest

Docker

GitHub Actions

AWS

GCP

Kubernetes

ROS

Gazebo

CARLA

Job description

Pronto AI, based in San Francisco, seeks a software engineer to design and maintain testing infrastructure for autonomous vehicle software. You will build core test harnesses, run simulation-based tests, and implement pipelines that gate code changes across unit, integration, and replay-based tests.

You will work with Python as a primary language, contribute to a distributed, platform-driven system, and help shape the engineering workflow for fast, safe autonomy development.