Path Robotics is addressing the skilled labor gap and transforming industries by building AI-driven robotic systems that adapt, learn, and perform in real-world environments. The company aims to deliver field-ready AI that is reliable, risk-aware, and continuously improving.
Requirements
- Skilled in one or more of the following testing methodologies: TDD, ATDD, or BDD; HIL/SIL testing; Systems simulation or virtual environments.
- Experience with CI/CD platforms and orchestration tools (e.g., Jenkins, GitHub Actions, Travis CI, AWS CodeBuild or equivalent).
- Familiarity with simulation, test automation, or modeling frameworks (e.g., LabVIEW, Simulink).
- Exposure to static/dynamic analysis or code quality tools (e.g., SonarQube, Coveralls).
- Experience with test frameworks such as Behave, Cucumber, Robot Framework, GTest, gMock, or equivalents.
- Ability to diagnose system issues using tools like Wireshark or system logs.
- Strong software fundamentals — code structure, API testing, integration patterns, version control, debugging, validation, and automation.
Responsibilities
- Design, build, and evolve automated test frameworks and tooling that enable teams to validate software behavior, integrations, and system performance.
- Develop fully-integrated hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing capabilities that simulate complex field conditions and enable continuous validation.
- Drive a solutions-oriented testing culture, helping engineers adopt best-in-class patterns for verification, observability, and quality practices.
- Create test strategies and infrastructure for multi-disciplinary environments, partnering with teams across controls, perception, UI, and embedded software.
- Own documentation, reporting, and traceability for test plans, coverage, automation, and system validation deliverables.
- Continuously improve test automation, stability, and developer experience, contributing to CI/CD workflows, tooling enhancements, and operational excellence.
Other
-
- Bachelor’s degree in Computer Science, Software Engineering, Robotics, or equivalent professional experience.
-
- 5+ years of professional software engineering experience, ideally focused on test automation, infrastructure, platform engineering, or quality systems.
-
- Demonstrated ability to apply professional software practices including: Code reviews; Continuous delivery pipelines; Test strategy development; Documentation and operational ownership; Monitoring and root-cause analysis.
-
- Motivated by working at the intersection of software and physical automation—excited to see your work influence how robots behave in real environments.
-
- Passionate about quality, reliability engineering, and building systems that scale.
