Senior System Test Automation Engineer

Join a high-performing team at Sonatus that’s redefining what cars can do in the era of Software-Defined Vehicles (SDV).

At Sonatus, we’re driving the transformation to AI-enabled software-defined vehicles. Traditional automotive software methods can’t keep pace with consumer expectations shaped by the mobile industry—where features evolve rapidly, update seamlessly, and improve continuously. That’s why leading OEMs trust Sonatus to accelerate this shift. Our technology is already in production across more than 5 million vehicles on the road today and rapidly expanding.

Headquartered in Sunnyvale, CA, with 250+ employees worldwide, Sonatus combines the agility of a fast-growing company with the scale and impact of an established partner. Backed by strong funding and proven by global deployment, we’re solving some of the most interesting and complex challenges in the industry. Join us and help redefine what’s possible as we shape the future of mobility.

Sonatus is headquartered in Sunnyvale, California, with international locations in Ireland, France, Germany, Poland, Korea, China, India, Taiwan, and Japan. This is a remote position within Ontario, Canada.

The Opportunity:

Sonatus is looking for an experienced 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 deployment, monitoring, and automation within innovative automotive and cloud environments.

Role and Responsibility:

• Collaborate with diverse teams to define testing strategies for challenging and innovative projects.
• Develop and execute detailed test plans using a combination of automation 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 and monitoring

Qualifications:

• A bachelor’s degree (MS preferred) in computer science, computer engineering, electrical engineering, or other related fields is required.
• Minimum 5-8 years of experience in embedded software in data centers, networking, security, cloud services, or the automotive industry.
• Proficient in test methodologies with experience in system-level testing of physical devices.
• Familiarity with the Linux command line and proficiency in shell scripting.
• Familiarity with Quality Assurance for the Cloud Platform developed on private and public Cloud Infrastructure.
• Strong expertise in AI fundamentals, neural networks, and model deployment
• Strong experience in E2E testing of cloud-controlled / monitored embedded products.
• Strong experience in testing OTA / FOTA functionalities.
• Review and challenge product requirements, design, and functional specifications.
• Proficient in developing, reviewing, and modifying Python scripts to enhance test coverage.
• Experience with designing and implementing test tools for AIML automation and deployment
• Familiarity with common test frameworks such as PyTest, Playwright, Behave, or similar.
• Familiarity with test tools like Vector CANoe, VehicleSpy, PEAK, Spirent, IXIA, or similar products is a plus
• Proficiency in JIRA, Jenkins, or similar tools.
• Excellent written, verbal, and presentation skills.