Top Engineering Jobs in Boston, MA

The Senior Engineering Manager will lead the Data Fabric team, managing data infrastructure and engineering teams while ensuring data quality and governance, driving strategic influence across the company, and fostering a high-performing culture.

Support R&D in acoustic technologies by conducting experiments, building prototypes, performing measurements, and collaborating with research teams.

The Director of Solutions Engineering will lead the SE organization for strategic customers, guide AI-native adoption, collaborate globally, mentor teams, and advocate for customers' needs in product development.

The Salesforce Solutions Architect will design and implement Salesforce solutions for the insurance industry, ensuring compliance and integration with legacy systems while leading development teams and engaging with stakeholders.

The Senior Software Engineer will lead the development of backend services and APIs, design system architecture, and collaborate closely with teams to evolve the Enterprise platform.

The Senior Software Engineer / Back-End Developer will implement software solutions for high-impact challenges, processing large datasets and deploying analytics in cloud and on-prem environments.

Lead the rearchitecture and implementation of Arcadia's User Management system, focusing on authentication and authorization frameworks. Drive new systems and mentor engineers to ensure secure data access and operational excellence.

As the Engineering Manager for ML Platform, you'll lead a team to build core platforms for ML and AI, oversee model training and deployment, improve system reliability, and collaborate across teams to support Klaviyo's AI products.

The Principal IT Systems Administrator oversees IT systems, leading complex initiatives, managing infrastructures and endpoints, enhancing security compliance, and ensuring incident management and documentation standards are met.

Develop autonomy software for unmanned systems, including algorithm design, software testing in simulations, and collaborative R&D efforts with a multidisciplinary team.

Lead the development and deployment of software for AI and mission planning, managing teams and ensuring successful project execution.

Develop software for embedded components supporting UAS, focusing on GNC software and HWIL testing for autonomous vehicles. Ensure mission success through engineering design cycle involvement.