AI Test Engineer

In this Role, Your Responsibilities Will Be:

• Design test cases, scenarios, and datasets reflecting real execution workflows.
• Create repeatable validation scenarios covering normal operations and stress, boundary, and failure conditions.
• Execute manual and automated tests as appropriate
• Maintain clear documentation of test results, defects, and validation outcomes.
• Validate the system and/or agents against functional, behavior, execution requirements
• Test end-to-end workflows, model inference, and system integrations.
• Verify correctness, consistency, and explainability of outputs.
• Identify failure models, edge cases, and unexpected behaviors.
• Validate AI solution execution across different hardware environments, including:
  • GPU vs CPU
  • Different GPU models and memory configurations
  • On-premise or virtualized environments
• Test performance, stability, and resource utilization under varying loads.
• Identify hardware-related constraints affecting behavior and reliability.
• Document testing procedures, results, and troubleshooting reports. 
• Identify, log, and track bugs in systems like TFS or Azure, providing detailed reports to developers.
• Work with cross-functional teams to review designs and provide feedback on product quality.

Who You Are:

• A hands-on test engineer who enjoys validating complex systems
• Previous experience in quality assurance (QA), software testing, or hardware validation
• Comfortable testing systems where software, models, and hardware intersect
• Detailed-oriented, analytical, and execution-focused
• Curious about how AI systems behave under real-world constraints

For This Role, You Will Need:

• Bachelor’s or Master’s degree or equivalent in Engineering, Computer Science, Artificial Intelligence, IT, or any related field.

• 6+ years of experience in software testing, system validation or quality engineering

• Strong knowledge of test design techniques:

  • Functional testing

  • Regression testing

  • Performance testing

  • Scenario-based and edge-case testing

• Defect tracking and root-cause analysis

• Experience with manual and automated testing approaches

• Experience working with production or execution-critical systems

Preferred Qualifications that Set You Apart:

• Experience in AI or ML-based solutions.

• Familiarity with LLMs, inference pipelines, or agent-based systems.

• Experience in validating systems across different hardware platforms (CPU/GPU).

• Working knowledge of python for test scripts or validation tools.

• Exposure to industrial automation, OT, or control systems.

• Experience testing in on-prem, virtualized, or cloud environments.

Our Offer to You

By joining Emerson, you will be given the opportunity to make a difference through the work you do.

Emerson's compensation and benefits programs are designed to be competitive within the industry and local labor markets. We also offer a comprehensive medical and insurance coverage to meet the needs of our employees.

We attract, develop, and retain exceptional people in an inclusive environment, where all employees can reach their greatest potential. We are dedicated to the ongoing development of our employees because we know that it is critical to our success as a global company.

We have established our Remote Work Policy for eligible roles to promote Work-Life Balance through a hybrid work set up where our team members can take advantage of working both from home and at the office.

Safety is paramount to us, and we are relentless in our pursuit to provide a Safe Working Environment across our global network and facilities.