We are looking for a Senior QA Engineer to lead the validation strategy, testing execution, and automation efforts for complex, high-impact software systems. This role operates at the intersection of engineering, tools, and product delivery, ensuring that multi-component systems meet the highest standards of quality, performance, and reliability. The ideal candidate is both a technical leader and a quality champion who thrives in complex environments, excels at identifying risk, and drives scalable testing solutions through automation and AI-assisted approaches

Expectation, but not limited to:

• Leads validation for complex systems spanning multiple components and teams, defining test strategy that covers functional, regression, performance, and reliability risks. Prevents high-impact regressions through proactive planning and deep technical triage.
• Creates robust automation and test utilities that materially improve signal quality (reduced flakiness, faster triage, better coverage). Serves as a subject-matter expert who elevates team execution and release confidence.
• Utilizes AI to create automated test cases, improve current process and level up test quality.

Responsibilities will include, but not be limited to:

• Owns large feature areas or subsystems spanning multiple components, including complex interactions across runtime, tools, data, and rendering. Leads cross-team testing efforts and coordinates quality activities for major deliveries.
• Defines validation strategy for complex changes, including automation approach, performance considerations, and fidelity checks. Acts as a technical point of contact for quality risk and testability discussions.
• Own large feature areas or subsystems that span multiple components across Aechelon products, including complex interactions involving runtime, tools, data, and rendering.
• Leads validation for complex systems spanning multiple components or subsystems, coordinating quality activities across ownership boundaries.
• Define and drive validation strategies for complex or high-risk changes, including test scope, automation approach, performance considerations, and fidelity or correctness checks.
• Serve as the primary technical point of contact for quality risk assessment, testability discussions, and release readiness for owned areas.
• Provide technical guidance and mentorship to junior QA engineers, reviewing test plans, test cases, and automation contributions to ensure consistency, coverage, and effectiveness.
• Identify gaps in coverage, tooling, or process, and influence improvements that scale quality across teams and releases.
• Focus on Tool Development & AI:
• Define and drive validation strategies for complex or high-risk changes, with a strong emphasis on Python-based tool development, including test frameworks, utilities, and data-driven validation.
• Design, implement, and maintain tool and testing technology in Python that replace or significantly reduce manual testing for QA owned areas.
• Utilize AI assisted tools to improve/enhance the automation and day-to-day works.

Minimum Qualifications

• BA/BS in Computer Science or equivalent work experience
• Some experience with software testing or quality engineering
• Solid understanding of software development lifecycles
• Strong organizational, communication, and problem-solving skills
• Eligibility to work with export-controlled technology
• Practical experience applying AI tools in QA tasks

Bonus Points

• Experience testing 3D graphics or simulation software
• Python, C++, or automation scripting experience
• Experience with CI systems (Jenkins or similar)
• Experience with Jira, Perforce, Git, or similar tools
• Experience writing technical documentation
• Practical experience applying AI tools to QA tasks

Compensation and Benefits

We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits.