Sr. System Test Autonomation Architect - Supervisor

Overview

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems.

GA-ASI is seeking a Senior (Principal-Level) Autonomy Test Automation Architect to define, lead, and scale the enterprise validation architecture for mission autonomy systems across operational aircraft and distributed autonomous platforms.

• This is a technical leadership and organizational impact role, not an individual contributor test architect.
• Define the technical vision, architecture, governance, and organizational strategy for validating AI-driven mission autonomy at operational scale — spanning MIL, SIL, HIL, flight test, and fielded fleet analytics.
• Define how GA-ASI engineers trust, certify, field, and continuously improve autonomy systems operating in contested and degraded environments.
• Enterprise Autonomy Validation Architecture (Strategic Ownership)
• Define and govern the enterprise autonomy verification & validation (V&V) architecture
• Establish standardized frameworks spanning MIL → SIL → HIL → flight test → fleet feedback loops
• Drive traceability from autonomy requirements to mission-level performance outcomes
• Establish reusable validation infrastructure across multiple autonomy programs
• Define certification-ready validation artifacts aligned with customer and regulatory requirements
• AI Confidence & Trust Engineering
• Architect statistical confidence frameworks for AI robustness, safety, and mission effectiveness
• Define measurable autonomy readiness and deployment thresholds
• Establish adversarial, resilience, and edge-case stress strategies
• Develop explainability, traceability, and mission-decision accountability frameworks
• Lead AI assurance methodologies aligned with emerging DoD autonomy governance standards

• Typically requires a bachelors degree, masters degree or PhD in computer science, information systems or related discipline and progressive software development experience as follows: fifteen or more years of experience with a bachelors degree, thirteen or more years of experience with a masters degree, or ten or more years with a PhD. May substitute equivalent experience in lieu of education.
• Experience:
• Extensive experience in autonomy systems, AI/ML validation, or large-scale safety-critical system verification
• Demonstrated experience architecting complex automation frameworks
• Experience leading technical teams or enterprise initiatives preferred
• Technical Depth
  
  Required:
• Autonomy & AI validation methodologies
• MIL/SIL/HIL integration
• Modeling & Simulation ecosystems
• Distributed systems testing
• Dev Sec Ops , MLOps, CI/CD
• Statistical performance evaluation
• Python, C++, or equivalent autonomy test languages
• Other Requirements:
• Strong executive communication and briefing skills
• Ability to influence across matrixed organizations
• Ability to obtain and maintain a Top Secret / SCI security clearance is required (active clearance strongly preferred).

Job Type: Full-Time

Salary range: 140,