Top Remote Senior Level Hardware Engineer Jobs in Orlando, FL

The Research Engineer will collaborate on enhancing models and exploring innovative AI research, applying proprietary algorithms for unsupervised learning and perception issues. Responsibilities include developing tools for deep learning experiments and deploying algorithms on vehicle platforms.

The Staff Software Engineer will design, implement, and deploy new features and services for the Matterport Platform. Responsibilities include building APIs and backend services, mentoring junior engineers, and ensuring proper monitoring of live environments. The role requires familiarity with microservices and agile practices, along with strong problem-solving skills.

The Senior Software Engineer in MLOps/Infra will lead the design and development of a platform focusing on innovative AI/ML applications. Responsibilities include driving technical delivery, collaborating with teams, ensuring uptime and reliability of services, and developing tooling and microservices for automation.

The Engineering Manager will lead a team focused on improving the end-to-end billing experience and product-led growth mechanics. Responsibilities include mentoring engineers, providing technical direction, contributing to product success, and fostering a collaborative culture.

As a Sr. Workday Solution Architect, you'll lead teams to deliver client solutions across the Workday Talent suite, facilitating design workshops, translating business requirements, and providing leadership to junior consultants. You'll engage in early sales conversations to define project scope, craft solutions, and develop relationships with key stakeholders.

As a Backend Engineer, you will architect and maintain backend systems for VALR, ensuring scalability and reliability. Your role includes developing Kotlin-based services, implementing APIs, managing cloud infrastructure, and collaborating with teams to enhance platform features while adhering to coding standards.

The Software Engineer will be responsible for developing large new areas within data management software, handling the entire product lifecycle, and ensuring high reliability of system software. This role demands experience with AI infrastructure at scale and solid Python knowledge. Multi-tasking and quick adaptation to new technologies are essential.