Top Remote Senior Level Hardware Engineer Jobs in Atlanta, GA

The Senior Software Engineer, Data Platform at Tubi will build scalable data pipelines and infrastructure supporting real-time data processing and analytics. Responsibilities include improving data quality, enabling machine learning, and constructing data tools for analysis.

The Network Architect will design secure network solutions for the Department of Defense, ensuring compliance with DoD standards. Responsibilities include legacy environment analysis, capacity planning, network optimization, and the development of IP addressing schemes. The role requires collaboration with stakeholders to create effective network services and requires active security clearance.

The Senior DevOps Engineer will design, develop, and maintain CI/CD pipelines using Copado, manage Salesforce environments, implement automation strategies, ensure security compliance, and lead improvements in DevOps practices. The role also requires strong analytical problem-solving skills and documentation processes.

As a Senior Software Engineer in the AI Studio team at Speechify, you will be responsible for developing state-of-the-art voice cloning and text-to-speech services, building scalable microservice architectures, and optimizing performance of applications. You will also contribute to innovation in AI and audio technologies.

The Staff Software Engineer will architect and develop platforms for foundational teams at Coinbase, manage project priorities, mentor junior engineers, write high-quality code, and collaborate with various teams to turn the company's vision into actionable plans.

The AI/ML Engineering Senior Manager will lead a team of data scientists and engineers to advance AI capabilities in products. Responsibilities include managing projects, guiding technical development, ensuring quality in data applications, collaborating with stakeholders, and fostering a culture of continuous learning and innovation.

As a Solution Architect in Partner Development, you will manage relationships with partners, facilitate sales and marketing initiatives, provide technical guidance, and enhance collaboration across departments. You will leverage your expertise in AI/ML to educate partners and foster growth in the partner ecosystem.

As a Senior AI Product Engineer, you will develop scalable full-stack applications for AI observability. Your responsibilities include writing code primarily in TypeScript and React, designing APIs, creating performant UI components, and collaborating with product and engineering teams. You will also participate in architectural decisions and contribute to technical documentation.

Develop and maintain scalable backend systems for Arize’s ML observability platform using Go, Python, and Java. Design and implement APIs for machine learning workflows, build analytics systems, and contribute to open source projects. Collaborate closely with interdisciplinary teams to enhance product offerings and conduct research into AI algorithms.