Autonomy QA Engineer: Triage & Simulation Specialist

DoorDash High Volume; United States; Remoto; USD 8.400 - 15.000; Tempo integral

Resumo da vaga

DoorDash Labs is expanding its robotics and automation team to advance autonomous delivery. The role focuses on QA and triage of daily robot test logs in the US, diagnosing events, and collaborating with software teams to drive improvements.

You will also set up simulation scenarios, build regression libraries, and create maps for navigation within the autonomy stack, contributing to end-to-end QA initiatives and process optimization.

Qualificações

• Bachelor’s degree in engineering or a related field, or equivalent work experience to 2+ years in QA engineering.
• Proficiency with Jira or similar issue-tracking software.
• Strong analytical skills and attention to detail.
• Ability to collaborate across cross-functional teams.
• Experience delivering high-quality artifacts with minimal supervision.
• Must be located in Hyderabad, India.

Responsabilidades

• Triage logs from daily robot testing runs in the US and analyze events.
• Reproduce and categorize events, and work with software teams on improvements.
• Set up simulation scenarios and create maps for navigation in the autonomy stack.
• Develop and maintain a library of regression scenarios for testing.
• Generate reports and data visualizations to prioritize identified issues.
• Contribute to QA process improvements and drive end-to-end QA initiatives.

Conhecimentos

Analytical skills

Team collaboration

Self-starter

Attention to detail

Formação

Bachelor’s degree in engineering or related field, or 2+ years experience

Ferramentas

Jira

Descrição da vaga

DoorDash Labs is expanding its robotics and automation team to advance autonomous delivery. The role focuses on QA and triage of daily robot test logs in the US, diagnosing events, and collaborating with software teams to drive improvements.

You will also set up simulation scenarios, build regression libraries, and create maps for navigation within the autonomy stack, contributing to end-to-end QA initiatives and process optimization.