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Job Title: Specialist Systems Engineer - DMS Engineer

Job Code: 35225

Job Location: Salt Lake City, Utah

Job Schedule: 9/80- employees work 9 out of every 14 days- totaling 80 hours working- and have every other Friday off 

Job Description:

DMSMS Systems Engineer with AI/Automation Focus

L3Harris, Spectrum Superiority (SPS) is seeking a highly skilled and motivated Diminishing Manufacturing Sources and Material Shortages (DMSMS) Systems Engineer to join our team. As a DMSMS Systems Engineer, you will be responsible for analyzing, managing, and mitigating the impact of obsolete and diminishing components on our systems and products at a customer reporting level. In this role, you will leverage artificial intelligence, machine learning, and automation technologies to enhance DMSMS tracking, prediction, and reporting capabilities. Your expertise in identifying alternative solutions, coordinating with suppliers, and ensuring continuity of supply will be crucial to maintaining the performance, reliability, and availability of our systems. This role requires a strong technical background, analytical thinking, exceptional problem-solving abilities, and experience with AI/ML tools and automation frameworks.

Essential Responsibilities:

• Contribute to the design and development of complex systems, ensuring alignment with specifications and requirements.
• Develop and implement AI/ML models to predict component obsolescence trends and identify at-risk parts before they become critical issues.
• Design and deploy automated DMSMS tracking systems that continuously monitor component lifecycle status across multiple databases and suppliers.
• Create intelligent reporting dashboards and automated alert systems to proactively notify stakeholders of emerging DMSMS risks.
• Work in a multi-disciplined engineering development environment and will be required to manage time and resources to support multiple concurrent programs.
• Prepare and present technical data in customer reviews**, including AI-generated insights and predictive analytics.**
• Plan and execute system integration and testing activities to validate system performance and functionality.
• Analyze and interpret customer requirements, translating them into detailed system specifications and design documents.
• Develop automated workflows for DMSMS data collection, analysis, and report generation to reduce manual effort and improve accuracy.
• Implement natural language processing (NLP) tools to extract relevant obsolescence information from supplier notifications, industry bulletins, and technical documentation.
• Prepare and maintain comprehensive technical documentation, including system architectures, design specifications, and test plans.
• Identify, troubleshoot, and resolve technical issues throughout the development lifecycle.
• Work closely with cross-functional teams, including software, hardware, and mechanical engineers, to achieve project goals.
• Collaborate with data scientists and IT teams to integrate AI/ML capabilities into existing DMSMS management tools and enterprise systems.
• Ensure all system designs and implementations comply with relevant industry standards and regulatory requirements.
• Participate in the continuous improvement of systems engineering processes and tools to enhance efficiency and effectiveness**, particularly through automation and AI-driven optimization.**
• Provide technical support and guidance to customers, addressing their concerns and ensuring satisfaction with the system performance.
• Assist in project planning, resource allocation, and milestone tracking to ensure timely completion of project objectives.
• Due to the nature of our work, qualified candidates must have or be able to obtain and maintain a DoD security clearance.
• Candidate must be able to travel on occasion.

Qualifications:

• Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
• Experience with AI/ML technologies, including Python, R, or similar programming languages.
• Data analytics, visualization tools (e.g., Power BI, Tableau, Python libraries), and database management.
• Experience with automation frameworks, scripting, and API integrations.
• Ability to obtain a Secret security clearance.

Preferred Additional Skills:

• Proven experience in DMSMS management, obsolescence mitigation/systems engineering/project management experience
• In-depth knowledge of DMSMS principles, industry standards (e.g., SAE-ARP-6272), government standards (SD-22) and best practices for mitigating obsolescence risks
• Experience developing or implementing machine learning models for predictive analytics, classification, or anomaly detection.
• Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Knowledge of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.
• Experience with robotic process automation (RPA) tools (e.g., UiPath, Power Automate, Blue Prism).
• Background in natural language processing, text mining, or computer vision applications.
• Strong analytical and problem-solving skills, with the ability to evaluate complex technical information and make informed decisions.
• Effectively communicate in-person, electronically, and perform individual responsibilities as well as collaborate with a team.
• Experience with component selection, qualification, and substitution processes.
• Proficiency in using DMSMS management tools, databases, and software applications (e.g., I.H.S., Silicon Expert), and ability to enhance these tools with AI capabilities.
• Excellent communication skills, both written and verbal, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to diverse audiences**, including explaining AI/ML methodologies to non-technical stakeholders.**
• Strong organizational and project management skills with the ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines.
• Proactive mindset, with the ability to anticipate potential DMSMS challenges and develop effective mitigation strategies**, leveraging predictive analytics and automation.**
• Experience with version control systems (Git), CI/CD pipelines, and agile development methodologies.
• Knowledge of data governance, security, and compliance requirements for AI/ML systems in defense applications.

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