SP - Autonomy Test Specialist

Job Description

An Autonomy Test Specialist to support Motion Planning engineers by accelerating development, testing, and validation workflows. In this role, you’ll own simulation scenario creation, coordinate vehicle testing, and serve as the first line of triage for test results. You’ll gain hands‑on exposure to simulation infrastructure, on-vehicle testing, and the real‑world challenges of deploying autonomous vehicles. The ideal candidate is organized, technically curious, and eager to learn in a fast‑paced autonomy environment.

• Create and configure simulation scenarios for pick‑up/drop‑off (PUDO) and depot site use cases, translating operational requirements into testable configurations.
• Develop and maintain vehicle test plans, supporting both on‑site and off‑site testing for new site enablement features.
• Manage test scheduling and coordination, partnering with vehicle operations to maximize testing efficiency.
• Perform first‑pass triage of simulation and vehicle test results, identifying issues and categorizing findings for engineering review.
• Document test results, generate clear reports, and identify opportunities to streamline testing workflows and improve visibility for autonomy engineers.

Bachelor’s degree in Engineering, Computer Science, Physics, or related technical field (or equivalent practical experience). Ability and willingness to travel for test support. Familiarity with scripting languages (Python preferred) for automation and data analysis. Strong organizational skills with experience managing schedules or coordinating technical workflows. Ability to learn new tools and systems quickly. Clear written and verbal communication skills for documenting findings and collaborating with engineers.

The Motion Planning team is scaling our Pick‑Up/Drop‑Off (PUDO) and Depot Site enablement capabilities and expanding to new operational domains. In this contract role, you'll work alongside our Motion Planning engineers to accelerate our development, testing, and validation workflows. You'll own the creation of simulation scenarios, manage vehicle testing, and serve as the first line of triage for test results. This is a unique opportunity to contribute directly to autonomous vehicle development while building your robotics expertise on the job.

We're looking for someone who is organized, technically curious, and excited to learn. You'll gain hands‑on exposure to our simulation infrastructure, on‑vehicle testing processes, and the real‑world challenges of deploying autonomous vehicles. If you're passionate about self-driving technology and want to make a tangible impact, we'd love to hear from you.

You will create and specify simulation scenes for PUDO and Depot site scenarios, translating operational requirements into testable configurations. You will develop and maintain vehicle test plans, supporting on and off site ensuring comprehensive coverage of new site enablement features. You will manage test scheduling and coordination, working with vehicle operations to maximize testing efficiency. You will perform first‑pass triage of simulation and vehicle test results, identifying issues and categorizing them for engineering review and solution development.

You will document test findings and identify opportunities to streamline processes and create reports that help autonomy engineers quickly understand test outcomes.

This role enables the Motion Planning team to deliver robust autonomous solutions by ensuring rigorous testing and validation of new scenarios and features.

• Experience with simulation environments or game engines.
• Exposure to robotics, automotive, or autonomous systems.
• Familiarity with version control (Git) and issue tracking systems (JIRA or similar).
• Experience with test engineering, QA, or validation processes.
• Understanding of basic vehicle dynamics or motion planning concepts.

LOCATION:

Austin, TX, United States
WORK ENVIRONMENT:
In‑person
EXPECTED PAY: 78.65 USD Per Hour

SCHEDULE:

Full time (usually 30+ hours/week)
ASSIGNMENT LENGTH:
Contract
OPPORTUNITY END DATE: 03/09/2026