WHAT DOES A LEAD SOFTWARE ARCHITECT DO?

Published: Jan 21, 2026 - The Lead Software Architect drives the creation of new product opportunities by designing embedded software, demo applications, and data-processing tools that leverage multimedia SoCs, EVKs, and advanced neural network acceleration technologies. This role optimizes processing across ARM cores, GPUs, and NPUs while architecting, implementing, and documenting end-to-end embedded solutions for both internal use and customer evaluation. The lead also collaborates closely with Computer Vision, Machine Learning, and cross-functional teams to integrate algorithms, models, and platform technologies into high-performance applications.

A Review of Professional Skills and Functions for Lead Software Architect

1. Lead Software Architect Duties

  • Team Leadership: Leading a team of professionals to develop software that will help partners work with technologies
  • Software Oversight: Spearheading all software development activities within the company, providing oversight and direction to multiple software development teams
  • Requirements Collaboration: Collaborating with engineers and researchers to determine requirements for software applications
  • Development Specification: Specifying all aspects of development, from appropriate technology and workflow to coding standards
  • Architecture Development: Developing the IT architecture of innovative software solutions
  • Project Oversight: Overseeing the progress of the development team to ensure consistency and architectural integrity
  • Technical Guidance: Providing technical guidance and coaching to engineers
  • Agile Collaboration: Working closely with local and remote colleagues in an agile setup
  • Solution Creation: Creating high-quality solutions while adapting to customer requirements

2. Lead Software Architect Details

  • Technical Analysis: Provide technical analysis for creating the SaaS solution to satisfy the business requirements
  • Architecture Evaluation: Evaluate architectural solutions and existing open-source solutions to be incorporated into the SaaS solution
  • Requirement Alignment: Meet the stakeholders’ business requirements as well as safeguard non-functional requirements such as security, flexibility, scalability, adaptability, and performance
  • Architecture Documentation: Document and communicate the architecture to the development team and all stakeholders
  • Code Compliance: Ensure code development follows the defined architecture and established coding standards
  • Best Practices: Apply industry best practices and design patterns to create scalable, efficient, and secure solutions
  • Issue Communication: Proactively analyze and communicate issues, priorities, and objectives
  • Risk Mitigation: Identify risks and propose risk mitigation strategies associated with the architecture
  • Technical Presentation: Attend project conferences to present and discuss technical matters
  • Project Handover: Assist in the handover of the project to the project owner's maintenance team

3. Lead Software Architect Responsibilities

  • Edge Architecture: Definition of IoT-connected edge software and system architecture including both embedded RTOS and Linux-class devices
  • Standards Participation: Participation in key industry standards groups that impact Resideo (CSA Matter)
  • Standards Evangelization: Evangelization of standards and platforms within Resideo
  • Data Model Design: Work with other key architects to select and define common data models for devices and services
  • Rules Engine Design: Work with other architects on a definition of a common rules engine that includes AI and ML
  • Build Analysis: Help with buy and build analysis of software and firmware
  • Proof Development: Building a proof of concept software to select the technical direction
  • Advanced Technologies: Apply advanced technologies, scientific principles, theories, and concepts to develop revolutionary system solutions to accomplish long-range objectives
  • RF Architecture: Design and develop software architectures for advanced RF sensor applications
  • Risk Reduction: Lead technology development and risk reduction activities to transition low TRL technologies into prototypes for field demonstrations
  • Funding Support: Support capture activities and pursue advanced development funding both internal and external to Lockheed Martin
  • Technical Representation: Represent the organization as the prime technical interface on contracts and projects

4. Lead Software Architect Accountabilities

  • Service Architecture: Work with leadership to design the implementation and architecture of key services in the pipeline
  • Progress Insight: Help leadership track progress, outcomes, and provide key insight when a change of direction is needed
  • Pipeline Guidance: Work with projects across all studios to provide solutions and guidance for their pipelines
  • Team Mentoring: Work with and mentor more junior members of the team to help resolve issues and solve problems
  • Studio Collaboration: Facilitate collaboration between studios through extensive client engagement
  • Documentation Contribution: Contribute to developer-facing or user-facing documentation
  • Domain Expertise: Operate as a domain specialist and point person for multiple teams or projects
  • Code Quality: Write code that conforms to company standards and exemplifies good design
  • Team Leadership: Lead a team of developers in implementing the design
  • Operational Support: Provide some level of operational support for the pipeline
  • Requirement Alignment: Work with the product owner and stakeholders to establish requirements and report progress

5. Lead Software Architect Functions

  • Product Innovation: Creating significant new product opportunities for Synaptics
  • Data Software: Responsible for creating software to aid in data collection and processing
  • Demo Development: Responsible for producing demo applications that stream live camera data through an image processing and DNN inferencing pipeline and viewing output
  • SoC Expertise: Gain a deep understanding of multimedia SoCs and EVKs, Embedded Linux and Android SDKs, and SyNAP technology
  • Processing Optimization: Optimize processing across multiple ARM cores, a GPU, and a Neural Processing Unit
  • Embedded Architecture: Responsible for architecting, implementing, and documenting embedded demo applications and development kits for internal and customer evaluations
  • Model Integration: Responsible for working with the Computer Vision and Machine Learning team to integrate algorithms and neural network models into applications
  • Team Collaboration: Working with various other teams across Synaptics to leverage their products and technologies for work

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