Senior QA SDET (FL)

Aechelon Technology

Salary undisclosed

Orlando, FLFull-timeOn-siteProficient

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Description

Aechelon Technology, a Shield AI company, is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation’s pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry.

As a member of the Quality Assurance team, the Senior QA SDET will help ensure the quality and reliability of Aechelon's simulation software, tools, and 3D visual database products through system-level testing, automation development, and validation of complex feature sets. In addition, they will participate in the design and implementation of automated test frameworks, test utilities, and validation strategies that improve test coverage, efficiency, and product quality. They will also use existing and future AI-assisted tools to enhance testing processes, generate automated test cases, and support quality initiatives across multiple product teams

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.

This position description is not intended to be a complete listing of activities, duties or responsibilities that are required of the employee holding this position. Duties, responsibilities and activities may be changed or others may be assigned at any time by the Company with notice to the employee.

Shield AI is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. Please send an email to dl-aechelon_hr-team@shield.ai to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact.

Benefits

401(k)

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About this role

Aechelon Technology, part of Shield AI, builds 3D simulation software and visual databases for military aviation training. This Senior QA SDET role focuses on ensuring quality across complex, multi-component systems—particularly those involving runtime, tools, data, and rendering interactions. You'd own large feature areas or subsystems, lead validation strategies for high-risk changes, and serve as the technical authority on quality risk and testability for your areas. The work spans functional, regression, performance, and reliability testing, with an emphasis on preventing regressions and maintaining release confidence across teams.

The position centers on automation and tool development, primarily in Python. You'd design and maintain test frameworks, utilities, and data-driven validation systems that reduce manual testing at scale. A significant part of the role involves exploring and applying AI-assisted tools to enhance testing processes and generate automated test cases. You'll also mentor junior QA engineers, identify gaps in coverage and tooling, and drive process improvements that benefit the broader quality organization.

The ideal candidate has a CS degree or equivalent experience, a solid grasp of software development lifecycles, and hands-on QA or quality engineering background. Experience with Python, 3D graphics or simulation software, CI systems like Jenkins, and version control tools is valued. You'll need eligibility to work with export-controlled technology and should already be comfortable using AI tools in practical QA work. The role is full-time, in-office in Orlando, Florida, and includes competitive salary, profit sharing, 401k, and fully employer-paid health benefits.

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