Top Remote Entry Level Software Engineer Jobs in Boston, MA

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

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.

Validate the accuracy of tax rates and rules in Sovos tax engines, create and review unit/automated/regression tests, develop indirect tax expertise, implement AI-assisted testing workflows, collaborate with product/dev/support teams, support certified compliance programs and external audits, and continuously improve the Content QA process.

Develop and maintain front-end and back-end components of AI-driven products, collaborating with teams to enhance user experience and build proof of concept products.

Contribute as an Agile Scrum team member to develop features across data marketplaces, mobile/web apps, and APIs. Participate in cloud migrations, test automation, code reviews, and production support with a focus on scalability, uptime, and continuous improvement.

The Optical Test Development Engineer designs and develops optical test systems, collaborates across teams, analyzes test data, creates automation scripts, and maintains quality standards.

Design, define, and oversee .NET-based application architecture. Provide technical leadership on .NET platform decisions, ensure scalable solutions, collaborate with stakeholders, and support implementation and integration efforts.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Develop and maintain Linux user-space and driver-level software to integrate radio hardware (Wi‑Fi/cellular) into drone connectivity stacks. Implement logging and analysis of link metrics, collaborate with RF and embedded teams on rate-adaptation algorithms, run hardware-in-the-loop tests, and validate aerial connectivity performance.