Software Quality Engineer

Pentangle Tech Services | P5 Group; San Jose (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

ABB is seeking a Software Quality Engineer in San Jose, CA to drive quality assurance across AI vision-powered robotics systems. You will design and execute testing strategies spanning AI models, robotics controls, software and hardware, ensuring robust end-to-end validation.

You will collaborate within Agile/Scrum teams, leverage DevOps practices, and lead domain-specific testing, automation, and data versioning to enable repeatable validation and continuous improvement.

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.

Responsibilities

• Drive quality assurance across AI vision-powered robotics systems.
• Design and execute comprehensive testing strategies across AI models, robotics controls, software, hardware, and system integration.
• Collaborate with multidisciplinary teams in Agile/Scrum and leverage DevOps to embed quality and automation.
• Lead domain-specific testing for AI vision models, robotics kinematics, control systems, software algorithms, hardware, UI, and automation cells.
• Conduct system integration testing and end-to-end validation for cohesive subsystems.
• Develop, maintain, and optimize automated test suites and frameworks per domain.
• Manage test infrastructure, environments, CI/CD pipelines, and test data versioning for repeatable 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 milestones.
• Maintain documentation, quality metrics, and reporting for continuous improvement.

Skills

AI vision

Robotics

Automation testing

DevOps practices

Agile methodologies

Analytical thinking

Communication skills

Education

Bachelor’s or Master’s in Robotics/CS/Engineering

Tools

Python

C

C++

C#

ROS

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.

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.