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AI Test Systems Engineer

2 months ago

Fort Belvoir, United States Tulk LLC Full time
Job Overview

Position: Test System Engineer - AI Focus

Tulk LLC is a premier consulting firm specializing in technology and management advisory services for the Federal Government. Our dedicated team supports Defense and National Security clients in the acquisition, design, management, and development of advanced technological systems and operational practices to enhance their missions. We provide comprehensive benefits, including health insurance, disability coverage, flexible working hours, performance bonuses, access to cutting-edge technology, educational reimbursement, retirement plans, and more.

We seek candidates with diverse skills and interests to contribute to our mission. At Tulk LLC, we align our employees with projects that suit their unique expertise and career aspirations. If you are interested in the role outlined below, we welcome your application to advance your career with Tulk LLC.

As a Senior Test Systems Engineer (US Citizenship Required), you will lead teams in Application, System, and Integration Testing to ensure precise and timely GEOINT across various agencies. Your primary responsibility will be to provide technical advisory support for AI Research and Development in Test and Evaluation (T&E) Automation and Verification of AI models, identifying innovative capabilities, tools, and methodologies to keep pace with current AI advancements.

Key Responsibilities:

  • Perform diagnostic assessments on AI/ML systems and applications, evaluate performance and efficiency, document findings, and provide recommendations.
  • Establish and maintain a technical framework for executing system-level integration specifications.
  • Prepare and deliver presentations at conferences, webinars, and virtual events.
  • Develop methodologies for analyzing and assessing AI-related risks and impacts.
  • Assist in requirements engineering, solutions engineering, scheduling, integration, testing, evaluation, and analysis across various agencies.
  • Advise on solution designs based on requirements and emerging technologies for AI Assurance and Governance.
  • Create descriptive, diagnostic, predictive, and prescriptive insights/algorithms and translate them into development code.
  • Conduct statistical analyses to inform decision-making processes.
  • Implement governance processes for algorithms to ensure compliance with established principles.
  • Document procedures, execute testing, and monitor performance metrics.
  • Rapidly iterate AI models to ensure accuracy and repeatability.
  • Define business processes and acceptance criteria for testing and evaluation.
  • Author test planning documentation, execute test scenarios, and report potential issues.
  • Develop deep learning frameworks, GPU acceleration, model optimization, real-time data streaming, and distributed computing.
  • Create test procedures for AI model verification and validation, collaborating with cross-functional teams for alignment.
  • Evaluate acceptance criteria for the complete AI model architecture and provide feedback to development teams and stakeholders.

Required Qualifications:

  • US Citizenship is mandatory.
  • Top Secret SCI (TS/SCI) Security Clearance is required.
  • Bachelor's degree or higher in Mathematics, Statistics, Computer Vision, Artificial Intelligence, Machine Learning, or a related STEM field, or equivalent expert-level work experience as a Test Systems Engineer.
  • Senior-level experience in scripting, statistics, and computer vision.
  • Over 10 years of experience with tools and technologies such as JMeter, Jenkins, Docker, Postman, Swagger, Nexus, Apigee, GitHub/GitLab, Java, Bash, Curl, XML, JSON, SQL, Python, JavaScript, or AWS/C2S.
  • Strong quantitative and qualitative analysis skills to support AI model assurance.
  • Senior-level experience with traditional, Agile, and DevOps development practices and associated testing strategies.
  • Experience with Test Driven Development using programming languages like Python, C++, Matlab, R, or Java.
  • Experience in the field of geospatial intelligence.
  • Knowledge of AI Assurance, T&E or V&V-As-a-Service, and Explainable AI (XAI).
  • Experience in quality engineering solutions utilizing Automation, Augmentation, and Artificial Intelligence technologies.
  • Experience in coding and developing tests and evaluations for AI programs.
  • Familiarity with the SAFe framework and Model-Based Systems Engineering.

Preferred Qualifications:

  • Demonstrated experience with Atlassian products such as Confluence and JIRA.
  • Experience with NGA Enterprise solutions, CI/CD pipelines, and DevSecOps.
  • Engineering solutions utilizing Cloud-based technologies.
  • Experience with program transitions and technical capabilities.
  • Engineering solutions using structured and unstructured Big Data.

Hashtags:

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