The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The RoleAspenTech is the world's leading supplier of asset optimization software solutions and operates from 62 locations worldwide. We are uniquely positioned to shape a sustainable future for capital-intensive industries. From our roots at MIT over 40 years ago to technological breakthroughs today that extend the reach of optimization, AspenTech has always been at the forefront of innovation. AspenTech Research & Development is a 1300–person team of industry-leading experts in the fields of performance engineering, subsurface science & engineering, manufacturing & supply chain, digital grid management and asset performance monitoring. On this team you will have the opportunity to turn creative ideas into reality, affecting products that are utilized by hundreds of thousands of users worldwide.As a Principal Software Quality Engineer in our AI R&D team, you will be expected to provide mentorship, solve complex technical challenges, and manage individual project priorities, deadlines, and deliverables. You will play a key role in defining quality strategy and driving testing excellence across our AI-powered products and platforms.Your Impact
- Work closely with Software Development, Data Science, and Product Management teams to design, architect, and deliver next generation AI products, leveraging Generative AI, agentic systems, and machine learning technologies to create differentiated customer experiences and business value.
- Lead the strategy, architecture, and implementation of test automation frameworks across AI, API, UI, integration, and performance testing domains.
- Drive automation quality practices, ensuring comprehensive automated validation is integrated throughout the software development lifecycle.
- Define and track automation coverage, test effectiveness, and quality metrics to continuously improve release confidence and engineering productivity.
- Partner with development teams to embed automated testing into CI/CD pipelines and establish quality gates for AI powered products and platforms.
- Evaluate and adopt modern test automation technologies, including AI assisted testing tools, autonomous test generation, and intelligent regression testing approaches.
- Champion shift left testing practices and mentor software developers on automation design patterns, maintainability, and scalability.
- Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or related technical field.
- 8+ years of progressive designing, developing, and maintaining scalable test automation frameworks and automated testing solutions.
- Expert level proficiency in test automation technologies and programming languages commonly used for automation development (e.g., Python, Java, C#, JavaScript).
- Demonstrated experience implementing test automation across API, UI, integration, end-to-end, performance, and AI model validation scenarios.
- Strong knowledge of CI/CD practices, automated quality gates, and test execution orchestration within modern DevOps environments.
- Experience measuring and improving automation ROI, test coverage, reliability, and execution efficiency.
- Proven ability to lead automation strategy and drive adoption of quality engineering best practices across multiple teams.
- Experience with AI Application Testing, LLM Evaluation, or Agentic System Validation
- Strong analytical, troubleshooting, and debugging skills.
- Passion for finding creative solutions to problems and pride in delivering high quality software experiences.
Skills Required
- Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
- 8+ years designing, developing, and maintaining scalable test automation frameworks and automated testing solutions
- Expert proficiency in test automation technologies and programming languages such as Python, Java, C#, or JavaScript
- Experience implementing test automation for API, UI, integration, end-to-end, performance, and AI model validation scenarios
- Strong knowledge of CI/CD practices, automated quality gates, and test execution orchestration in DevOps environments
- Experience measuring and improving automation ROI, test coverage, reliability, and execution efficiency
- Ability to lead automation strategy and drive quality engineering best practices across multiple teams
- Experience with AI application testing, LLM evaluation, or agentic system validation
- Strong analytical, troubleshooting, and debugging skills
Aspen Technology Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aspen Technology and has not been reviewed or approved by Aspen Technology.
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Healthcare Strength — Health coverage is described as strong, with comprehensive medical, dental, and vision plans and high-quality carrier options. Several recent remarks characterize the health insurance as "great" or "amazing," with low copays noted in some cases.
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Parental & Family Support — Maternity and paternity leave receive consistently positive mentions and are characterized as well-reviewed. Company materials also highlight family-oriented benefits alongside core coverage.
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Leave & Time Off Breadth — The package includes vacation/PTO, paid holidays, and sick leave, with multiple indications of generous paid time off. Dedicated volunteer hours and well-regarded leave policies reinforce breadth in time-away benefits.
Aspen Technology Insights
What We Do
AspenTech is a global leader in asset optimization software helping the world’s leading industrial companies run their operations more safely, efficiently and reliably – enabling innovation while reducing waste and impact on the environment. AspenTech software accelerates and maximizes value gained from digital transformation initiatives with a holistic approach to the asset lifecycle and supply chain. By introducing effective AI modeling to traditional principles of process engineering, AspenTech delivers a faster and more accurate analysis of efficiency and performance boundaries. The real-time data and actionable insights delivered by our software help customers push the boundaries of what’s possible.
