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Autonomy Test Specialist (Electric Vehicles)

Vertex Sigma SoftwareMiami, FL

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Overview

Education
Engineering (PE)
Career level
Senior-level
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

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.

Responsibilities:

  • 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.

Requirements

Qualifications:

  • 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

Bonus Qualifications:

  • 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

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Training & Development
  • Retirement Plan (401k, IRA)

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FAQs About Autonomy Test Specialist (Electric Vehicles) Jobs at Vertex Sigma Software

What is the work location for this position at Vertex Sigma Software?
This job at Vertex Sigma Software is located in Miami, FL, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Vertex Sigma Software?
Employer has not shared pay details for this role.
What employment applies to this position at Vertex Sigma Software?
The employer has not provided this information. This may be discussed during the hiring process.
What experience level is required for this role at Vertex Sigma Software?
Vertex Sigma Software is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Vertex Sigma Software?
You can apply for this role at Vertex Sigma Software either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.