Experienced Software Development Engineer

Position Overview:

Texas Instruments is seeking an innovative software development engineer who is a master of AI code generation platforms and tools. This role is critical to accelerating our digital transformation through rapid development of quality and test solutions using cutting-edge AI-assisted development techniques. This position offers the opportunity to revolutionize how our Smart Manufacturing and Automation team builds software while establishing best practices and scaling AI-assisted development capabilities across the organization.

The ideal candidate is someone who doesn't just use AI coding tools—they're an expert who leverages platforms like Claude Code, GitHub Copilot, and emerging agentic frameworks to dramatically accelerate development while maintaining high quality standards. You'll be building solutions that directly impact manufacturing quality and test operations while helping transform how our entire team approaches software development.

Responsibilities include:

• Development & Delivery
  • Rapidly develop and deploy applications, scripts, and automation solutions using AI code generation platforms (Claude, Copilot, Cursor, etc.)
  • Build solutions across the full stack including:
    • Data analytics dashboards and visualization tools
    • Process automation workflows and scripts
    • System integration solutions and APIs
    • Web applications and backend services
    • Test automation frameworks
  • Leverage Model Context Protocol (MCP) and agentic frameworks to create intelligent, autonomous solutions
  • Design and implement scalable agent ecosystems for automated operations
  • Maintain and enhance existing automation systems
• AI-Assisted Development Leadership
  • Serve as the subject matter expert on AI-assisted development tools and techniques
  • Establish best practices, patterns, and standards for AI code generation across the team
  • Create and maintain prompt libraries, templates, and development accelerators
  • Build infrastructure for managing multiple AI agents and automated workflows
  • Evaluate and adopt emerging AI development tools and platforms
• Knowledge Transfer & Scaling
  • Train and mentor team members on effective use of AI coding assistants
  • Develop training materials, workshops, and documentation
  • Share lessons learned and successful patterns across the organization
  • Foster a culture of AI-augmented development
• Collaboration
  • Partner with stakeholders to understand requirements and pain points
  • Work with cross-functional stakeholders to deliver integrated solutions
  • Contribute to architectural decisions and technical strategy

Qualifications

Minimum Requirements:

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering or other related engineering degree
• 3+ Years for Full Stack Development experience without co-development tools
• Advanced proficiency with AI code generation platforms and can showcase 2 years leveraging Co-Development and Agentic frameworks accelerating work

Preferred Qualifications:

• Hands-on experience with Model Context Protocol (MCP) and integration patterns
• Experience building or working with agentic frameworks
• Knowledge of prompt engineering and optimization techniques
• Experience managing ecosystems of autonomous agents or automated workflows
• Background in manufacturing, quality systems, or test automation (semiconductor industry a plus)
• Track record of teaching and mentoring others on technical topics
• Strong understanding of software architecture and design patterns
• Experience with API, microservices and system integration development
• Demonstrated ability to work independently and take initiative
• Excellent communication skills with both technical and non-technical audiences
• Ability to thrive in a fast-paced, rapidly changing environment
• Strong time management and project delivery skills