Software Engineer - QA Engineering & Tooling

Job Description

Job Description

Client: Autonomous Vehicle / Technology

Title: Software Engineer - QA Engineering & Tooling

Job Location: Foster City, CA

Duration: ~6 Months

The hourly pay rate is commensurate with experience and is an estimated rate provided by WorkGenius.

Report to either the Foster City or San Diego office

Join the team as a Junior Software Engineer supporting the design and development of full-stack applications, including frontend, backend, and API components, that power QA engineering processes for robotaxis. You will work on well-scoped tasks across our tooling ecosystem with guidance from senior engineers, with the opportunity to contribute to emerging agentic AI tooling. This role suits someone early in their career who wants hands-on experience building production software in a fast-moving QA engineering environment.

Responsibilities

• Build and maintain features for full-stack QA applications using TypeScript for frontend and backend and Python for non-frontend services, under the guidance of senior engineers
• Assist in designing and implementing test, integration, and end-to-end frameworks and pipeline automation
• Contribute to agent-assisted tooling, such as wiring up LLM-based classifiers, structured tool interfaces, or evaluation scripts for existing agentic workflows, with senior engineers owning architecture and safety-critical decisions
• Write and maintain unit and integration tests, fix bugs, and improve the reliability of existing tools
• Collaborate with cross-functional teams to understand test and triage pain points and help build solutions

Requirements

• Bachelor's degree (completed, or in progress/recently completed) in computer science, engineering, or a related field
• 0-2 years of professional or internship experience in software engineering
• 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 ask clarifying questions when requirements are ambiguous
• Strong communication skills and eagerness to learn from senior engineers

Bonus Qualifications

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