Top Remote Software Engineer Jobs in Boston, MA

Transfyr seeks adaptable builders for various roles across CS, biology, and business. Responsibilities include developing sensor stacks, data harmonization, computer vision, machine learning systems, lab operations, project management, and business development.

The Senior Software Engineer improves developer workflows by building platform capabilities and automating CI/CD processes for scalable software solutions.

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

Lead engineering teams to develop the Health100 platform, focusing on architecture, team development, and delivering high-quality products with a consumer health focus.

As a Senior Software Engineer, you will develop secure, scalable medical imaging platforms, architect distributed systems, and work with AI diagnostic tools.

The Senior Technical Architect will lead AI SDLC transformations, create architectural solutions, mentor teams, and drive innovation in regulated industries.

The Appian Technical Consultant implements and configures solutions on the Appian platform, leads technical projects, and collaborates with clients to achieve project goals while utilizing AI and RPA technologies.

As a Senior Engineer, you'll lead large-scale projects, improve codebases, mentor junior engineers, and ensure collaboration across teams while maintaining engineering standards and Agile practices.

As a Staff Software Engineer, you will lead the technical vision for DataRobot's Fleet team, mentoring engineers and architecting scalable infrastructure using Kubernetes for multi-cloud environments.

The role involves applying AI and ML to solve real-world physics problems, building simulations, managing customer engagements, and translating data into actionable insights, all while maintaining high scientific rigor.

As a Principal Software Engineer, you will lead the development of an AI-driven platform for life sciences, owning feature implementation, driving solutions, mentoring engineers, and promoting best practices.

Design, build, and maintain regulated medical-device software using .NET technologies. Perform design, implementation, code reviews, root-cause analysis, documentation, verification, process improvements, and mentor junior engineers while tracking project schedules.

Lead the design and implementation of backend systems and data infrastructure, focusing on scalability and integrations with customer databases while cultivating an engineering culture.