Senior Robotics Test Engineer: Real-World Autonomy Tests

Pronto

San Francisco (CA)

On-site

USD 176,000 - 242,000

Full time

2 days ago
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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
Disability Insurance
Life Insurance
401(k)
Equity
Flexible Time Off
Team Lunches

Job summary

Pronto in San Francisco is hiring a software engineer focused on testing infrastructure for autonomous systems. You’ll design core test harnesses, build simulation and log-replay pipelines, and own CI/CD processes for robotics software deployed in field operations.

You’ll work with Python extensively, build automation across distributed systems, and collaborate with engineers to improve reliability, performance, and scalability of our autonomous haulage stack.

Qualifications

  • 3+ years in software engineering with testing infrastructure or distributed systems.
  • Strong Python skills with production-facing code experience.
  • Experience building automation pipelines (CI/CD, test orchestration, build systems).
  • Familiar with APIs, abstractions, and platform usability.
  • Excellent debugging and systems thinking across simulation and CI infra.

Responsibilities

  • Test Platform & Infrastructure — design and build core test infra for our middleware stack.
  • Simulation-Based Testing — build simulation infrastructure for deterministic playback.
  • CI/CD for Robotics — maintain testing pipelines gated to code changes.
  • Log Replay & Recorded Scenario Testing — convert production logs to reproducible test cases.

Skills

Python
Testing infrastructure
CI/CD
Distributed systems
Debugging

Tools

Docker
GitHub Actions
Gazebo
CARLA
Isaac Sim
ZMQ
Cap'n Proto
ROS
Protobuf

Job description

Pronto in San Francisco is hiring a software engineer focused on testing infrastructure for autonomous systems. You’ll design core test harnesses, build simulation and log-replay pipelines, and own CI/CD processes for robotics software deployed in field operations.

You’ll work with Python extensively, build automation across distributed systems, and collaborate with engineers to improve reliability, performance, and scalability of our autonomous haulage stack.

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