Job Requisition ID #
Senior QA Automation Engineer – AI Applications
We are seeking an experienced QA Automation Engineer to ensure the quality, reliability, and performance of AI-powered applications. The ideal candidate has expertise in automated testing and software quality engineering, with experience building scalable testing frameworks and leveraging AI-powered testing tools to improve test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset.
Responsibilities
Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets for AI-powered features.
Automate QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins), leveraging AI-powered testing tools to improve test development, maintenance, and coverage.
Create and maintain test harnesses for AI services, applications, and APIs.
Perform API testing for AI services and backend systems.
Define quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML features.
Test AI/ML applications and machine learning models from a product and user perspective.
Evaluate AI/ML model outputs for correctness, consistency, and expected application behavior.
Define structured rubrics that translate qualitative findings into measurable evaluation gates.
Build quality gates for CI/CD and deployment pipelines, including automated regression and integration testing.
Mentor teams on QA automation best practices and consistent quality standards for AI-powered applications.
Contribute to multi-team projects and codebases, ensuring code quality and consistency.
Participate in code reviews and provide constructive feedback to peers.
Document and present findings and ideas across the company.
Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
5+ years of professional experience in software quality assurance, test automation, or software engineering.
Strong programming skills in Python, with experience in test automation.
Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation, productivity, and quality.
Experience with CI/CD tools and processes.
Familiarity with popular CAD environments and tooling.
Proficient in automation and UAT test suites/frameworks.
Experience designing QA frameworks or platforms used by multiple teams.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Understanding of software architecture and design patterns.
Ability to work in an Agile development environment.
Preferred Qualifications
Experience testing AI/ML applications or validating machine learning models.
Experience with data validation tooling (e.g., Great Expectations) or labeling workflows.
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow).
Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation).
Knowledge of ML evaluation methods, metrics, and benchmarking.
Passion for learning new technologies and improving existing systems.
Experience with cloud providers (e.g., AWS, Azure, Google Cloud Platform).
Experience testing AI/ML services in production environments.
Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases).
The Ideal Candidate
You demonstrate initiative to provide solutions and to learn and develop new technologies.
Comfortable building QA systems from scratch and writing maintainable automation.
You enjoy learning and collaborating across global locations.
You are comfortable working in newly forming ambiguous areas.
You are comfortable building scalable and maintainable QA automation frameworks that will be relied on by others.
You effectively leverage AI-powered tools to improve testing workflows and engineering productivity.
You can communicate well with others.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $84,000 and $123,200. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Skills Required
- Bachelor's degree in Computer Science, Engineering, or equivalent experience.
- 5+ years of professional experience in software quality assurance, test automation, or software engineering.
- Strong programming skills in Python with experience in test automation.
- Hands-on experience using AI-powered testing tools or AI coding assistants to improve test automation.
- Experience with CI/CD tools and processes (e.g., GitHub Actions, Jenkins).
- Familiarity with popular CAD environments and tooling.
- Proficiency in automation and UAT test suites/frameworks.
- Experience designing QA frameworks or platforms used by multiple teams.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Understanding of software architecture and design patterns.
- Ability to work in an Agile development environment.
- Experience testing AI/ML applications or validating machine learning models.
- Experience with data validation tooling (e.g., Great Expectations) or labeling workflows.
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
- Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow).
- Knowledge of MLOps practices (model monitoring, drift detection, deployment validation).
- Knowledge of ML evaluation methods, metrics, and benchmarking.
- Experience with cloud providers (AWS, Azure, Google Cloud Platform).
- Experience testing AI/ML services in production environments.
- Knowledge of experiment tracking tools (e.g., Comet, MLflow, Weights & Biases).
Autodesk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Autodesk and has not been reviewed or approved by Autodesk.
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Leave & Time Off Breadth — Time away is considered expansive, combining discretionary time off for salaried roles, company holidays/Autodays, and a periodic paid sabbatical. These options provide flexibility beyond standard accrual-based PTO.
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Equity Value & Accessibility — Total rewards prominently include RSUs and an employee stock purchase plan with a discount and lookback, alongside annual bonus or commission programs. These elements are available to eligible employees and can materially augment base pay.
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Parental & Family Support — Family-building support includes reimbursement for adoption, surrogacy, IVF/co‑maternity, and fertility benefits, plus dedicated coaching and Cleo resources for parenting and caregiving. These services extend support before, during, and after leave.
Autodesk Insights
What We Do
Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.
Why Work With Us
Our work is impactful. Our people are innovative. And our culture is inclusive. As our software shapes new solutions to the world’s biggest challenges, you shape your career path. With us, you lead the way in achieving sustainability, resilient communities, and an equitable workforce. Discover #AutodeskLife.
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