Top Remote Entry Level Hardware Engineer Jobs in Las Vegas, NV

You will develop the responsive frontend of a SaaS application using Vue.js and ensure excellent performance and user experience. Responsibilities include collaborating with product owners, participating in code reviews, and providing support for production applications while mentoring junior team members.

As a .NET Software Engineer I, you will develop maintainable software, support features and modules, troubleshoot production services, and enhance your engineering skills. You will work closely with a small technical team and engage in various collaborative activities to improve and review your code and system performance.

Phaidra is looking for candidates interested in engineering roles focused on developing AI-powered control systems for industrial automation. Responsibilities include applying reinforcement learning algorithms to industrial applications, enabling domain experts to configure AI agents without coding, and contributing to a team committed to core values of collaboration and operational excellence.

The front-end developer will create and maintain user interfaces, implement design modifications, and enhance user experiences for digital marketing tools. Responsibilities include analyzing code for improvement, building reusable code, collaborating with back-end developers, and leading projects. Continuous learning and effective communication are essential for success in this role.

As a Software Engineer at Warp, you will engage in all stages of the software development process, collaborate across teams to enhance product quality, improve performance and reliability, and mentor peers. You will also prototype features and strive to deliver a user-friendly experience for developers using Warp's innovative terminal solution.

The AI Productivity Engineer role involves supporting the integration and implementation of AI and conversational platforms. Tasks include developing custom features, ensuring system stability, collaborating with IT, and providing user support while remaining updated with emerging technologies in AI and machine learning.

Being a subject matter expert in the client domain, serving as a bridge between teams, providing technical and non-technical support, manual testing and automation, and collaborating with software engineers on testing objectives.