Software Quality Engineer

Job Title: Software Quality Engineer

Location: San Jose, CA

Duration: Long Term

Client : ABB

Key Responsibilities Job Description

• We are seeking a highly skilled Quality Engineer to drive quality assurance across our AI vision-powered robotics systems.
• This role involves designing and executing comprehensive testing strategies—covering AI vision models, robotics controls, software, hardware, and system integration—to ensure robust, reliable, and seamless operation.
• The successful candidate will collaborate closely with multidisciplinary teams in an Agile/Scrum environment and leverage DevOps practices to embed quality, automation, and continuous integration through development, testing, and deployment.
• Lead domain-specific testing for AI vision models, robotics kinematics, control systems, software algorithms, hardware components, UI, and automation cells.
• Conduct system integration testing, performing end-to-end validation to ensure all subsystems function cohesively.
• Develop, maintain, and optimize automated test suites and frameworks tailored for each domain.
• Manage test infrastructure, including environments, DevOps/CI/CD pipelines, and test data versioning to ensure repeatable and scalable validation.
• Perform root cause analysis, track defects, and coordinate corrective actions with cross-functional teams.
• Collaborate with software, robotics, hardware, and product teams to align testing strategies and integration milestones within Agile/Scrum workflows.
• Maintain comprehensive documentation, quality metrics, and reporting to support continuous improvement initiatives.

Additional Skills & Qualifications

• Bachelor’s or master's degree in Robotics, Computer Science, Mechanical/Electrical Engineering, or related field.
• Proven experience in quality assurance or testing for AI vision, robotics, automation, or AI-driven systems.
• Strong expertise in AI vision, computer vision techniques, robotics principles (kinematics, sensors, actuators), and control systems.
• Hands-on experience with automated testing tools and frameworks in multi-domain environments.
• Familiarity with Agile/Scrum methodologies and DevOps practices.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication and collaboration skills in cross-functional teams.

Preferred Skills

• Experience validating AI vision models (object detection, segmentation, pose estimation) in production environments.
• Familiarity with ROS, robotic simulation platforms, and industrial automation standards.
• Programming skills in Python, C, C++, or C# for scripting and automation tasks.
• Knowledge of safety and compliance standards relevant to robotics and automation.