Software Engineer [AQ-26087]

About the Role

Join a pioneering leader in the autonomous vehicle industry to shape the future of urban mobility. This role offers a direct impact on the safety and reliability of cutting-edge self-driving technology by building tools that validate its performance. You will develop full-stack applications and leverage emerging AI technologies to automate critical testing workflows.

The Opportunity

An enthusiastic engineer early in their career to join a collaborative team focused on elevating quality assurance through software innovation. You will support the design and development of full-stack applications featuring frontend, backend, and API components. Under the mentorship of senior engineers, you will tackle well-scoped tasks across our tooling ecosystem and gain hands-on experience with cutting-edge agentic AI tools that automate test, review, and triage workflows. This is an exceptional opportunity to grow your technical skills in a fast-paced, high-impact engineering environment.

Key Responsibilities

• Build and maintain features for full-stack quality assurance applications utilizing TypeScript for frontend/backend and Python for non-frontend services.
• Assist in designing and implementing test, integration, and end-to-end frameworks, as well as pipeline automation.
• Contribute to agent-assisted tooling by wiring up LLM-based classifiers, structured tool interfaces, and evaluation scripts for existing workflows.
• Write and maintain unit and integration tests, resolve bugs, and continuously improve the reliability of existing tools.
• Collaborate with cross-functional teams to understand testing pain points and help build robust software solutions.

Requirements & Tech Stack

• Working proficiency in Python and/or JavaScript/TypeScript.
• Familiarity with React (or a similar frontend framework), REST APIs, and Git version control.
• Ability to work independently on well-scoped tasks and proactively ask clarifying questions when requirements are ambiguous.
• Strong communication skills and an eagerness to learn from and collaborate with senior engineers.

Qualifications

• A completed (or recently completed/in-progress) Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 0-2 years of professional or internship experience in software engineering.

Bonus Skills & Experience

• Exposure to LLM/agent frameworks (such as tool calling and prompt engineering) or a strong interest in learning them.
• Familiarity with CI/CD pipelines, Docker, or cloud platforms like AWS or GCP.
• Coursework, internships, or side projects involving test automation, data pipelines, or AI/ML.
• Experience using AI coding assistants (such as Claude Code or Copilot) as part of your daily development workflow, paired with the judgment to critically review generated output.