Top Senior Level Hardware Engineer Jobs in Dallas, TX

As a Solutions Architect for CPaaS and Messaging, you will collaborate with sales to drive technical wins by showcasing the CPaaS platform. Responsibilities include understanding the CPaaS platform, keeping abreast of industry trends, conducting technical presentations, and providing integration guidance to customers, while feeding insights back to product teams.

The Senior WebRTC QA & Automation Engineer will lead quality assurance efforts at Gather, focusing on manual and automated testing of their video system. Responsibilities include building automated test bots, ensuring video performance under various conditions, collaborating with the video team, and delivering insights to enhance product resilience.

The Manager of Software Development oversees the full development lifecycle, providing technical leadership, coordinating team efforts, and improving productivity. This role acts as a liaison between the development team and senior management, ensuring project standards and deadlines are met.

As a Sr. Engineer in Information Engineering, you'll develop Tableau business intelligence solutions, collaborate with Product Managers, design reporting architectures, manage project deliverables in an agile environment, and mentor team members to enhance BI reporting efficacy.

The Software Solution Architect at Verra Mobility oversees the design and implementation of software solutions, ensuring adherence to architectural strategies and best practices. They translate business requirements into technical requirements, mentor development teams, manage coding standards, and evaluate new technologies to align with business objectives.

As an Architect at Little Caesars, you will lead and maintain custom software solutions, participating extensively in the Software Development Lifecycle. You'll provide technical leadership, ensure project quality and performance, and mentor team members while addressing complex technical challenges.

The Senior Software Engineer, AI will lead the AI/ML strategy and implementation, focusing on designing, developing, and deploying advanced Retrieval-Augmented Generation systems. Responsibilities include conducting AI/ML research, creating scalable machine learning architectures, optimizing system performance, and mentoring team members.