Staff System Test Automation Engineer (A.I.)
Posted Updated
- Sonatus is looking for an experienced Staff System Test Engineer with deep expertise in AI testing to lead quality efforts across AI-driven embedded and cloud-connected systems. This role centers on validating AI model testing, deployment, monitoring, and test automation within innovative automotive and cloud environments
- You will be reporting to our Senior Manager, Engineering (QA Automation - Vehicle)
- Collaborate with diverse teams to define testing strategies for challenging and innovative projects
- Develop and execute detailed test plans using both automated and manual testing
- Triage integration issues, replicate problems, and assist in identifying root causes and solutions
- Escalate potential issues (Software, Hardware, Resources) to the Project Manager/Executive team
- Track testing activities, ensuring clear alignment across key stakeholders
- Identify areas for improvement in test coverage and methodology, providing valuable suggestions
- Act as the gatekeeper for each release, representing the voice of customers and providing constructive feedback
- Work with the development team to orchestrate AI model deployment, testing, and scoring
Benefits
- Stock option program
- Flexible working arrangements
- Unlimited PTO
- Comprehensive benefits with generous allowance
- Free in-office food & snacks!
- A bachelor’s degree (MS preferred) in computer science, computer engineering, electrical engineering, or other related fields is required
- Familiarity with the Linux command line and proficiency in shell scripting
- Experience with designing and implementing test tools for AI/ML automation and deployment
- Proficient in test methodologies with experience in system-level testing of physical devices
- Familiarity with common test frameworks such as PyTest, Playwright, Behave, or similar
- Review and challenge product requirements, design, and functional specifications
- Strong expertise in AI fundamentals, neural networks, and model deployment and ML flow
- Proficient in developing, reviewing, and modifying Python scripts to enhance test coverage
- Familiarity with test tools in the data analytics space is a plus
- Minimum 5 years of experience in embedded software in data centers, networking, security, cloud services, or the automotive industry, and minimum 1+ year of experience with AI model development and testing
- Strong experience in E2E testing of cloud-controlled / monitored embedded products
- Proficiency in JIRA, Jenkins, or similar tools
- Familiarity with Quality Assurance for the Cloud Platform developed on private and public Cloud Infrastructure