Software Engineer Jobs in Cambridge, MA

Design, build, and maintain TypeScript/NestJS backend services and scalable APIs. Implement event-driven, asynchronous processing with queues and workers, integrate third-party APIs and webhooks, and improve platform reliability through observability, performance optimization, and production troubleshooting. Collaborate cross-functionally, own projects end-to-end, and influence long-term architecture and developer experience.

Design, build, and maintain scalable backend services and APIs using TypeScript and NestJS. Implement event-driven, high-throughput workflows, integrations, queues/workers, and observability; collaborate across teams and own projects from design to deployment.

Design, develop, and implement build, packaging, and release software for Red Hat's AI products. Define scalable, secure architectures; maintain product quality and coding standards; mentor junior engineers; collaborate cross-functionally to integrate and experiment with AI tooling and improve engineering practices.

Design, develop, test, and deliver new features for Red Hat OpenShift AI. Build open-source machine learning and data-science pipeline software, perform full-stack TypeScript/Node.js/React development on OpenShift, run unit and end-to-end tests, participate in code reviews and agile ceremonies, contribute to patents, and engage with the open-source community.

Lead design and delivery of backend and data-driven services: translate product requirements into technical designs, implement and deploy production cloud services, mentor engineers, review code, drive technical decisions, and own the technical excellence and roadmap for your team.

Develop mobile applications for TVision's audience measurement panel, collaborating on high-fidelity activity tracking and user interface improvements for seamless data collection.

Design and build software for scalable research initiatives at Harvard Kennedy School while collaborating with IT and research teams.

As a Software Engineer, you will develop and analyze personal health data models, implement web services, and design client application features.

Design and develop software for enhancements and new products. Analyze AI system performance, integrate vendor drivers, and collaborate on software design. Requires knowledge of programming and cloud technologies.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.

Join the Signup & Activation team to build and optimize frontend experiences that drive user acquisition and early activation. Collaborate with product, design, analytics, and backend engineers to implement high-quality, performant React/TypeScript interfaces, run experiments (A/B testing and personalization), and own well-scoped features from design through delivery in a Rails-backed environment.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Build and optimize backend distributed systems to extract, enrich, and process metadata at scale. Integrate LLMs and ML models into production pipelines, ensure data quality and monitoring, collaborate with ML engineers and product, and maintain infrastructure, security, and performance of metadata systems.

Build and optimize frontend signup and activation experiences using modern JavaScript and TypeScript. Collaborate with product, design, and analytics to implement high-converting, accessible, and performant user flows, own features from design through implementation, and participate in experimentation and personalization to improve conversion.

Designs, develops, and deploys AI-driven, cloud-native applications on Azure. Builds RAG knowledge systems, AI agents, secure APIs, and orchestrated workflows using C#, .NET, Azure services, Docker, and CI/CD. Collaborates with stakeholders, ensures observability and security, supports production incidents, and provides documentation and knowledge transfer.

Join the frontend team to design and implement complex, real-time, data-driven web applications using Angular and observables. Collaborate with product and engineering to deliver scalable, reliable cloud-based features, handle asynchronous/streaming data, and contribute frontend business logic. Full-stack and Firebase experience is a plus.

The Lead Software Engineer will develop AI voice solutions, fine-tune Large Language Models, architect cloud-based services, and enhance workflows within the engineering lifecycle.

Develop and deliver Salesforce solutions across configuration, customization, and third-party integrations. Write clean Apex and Lightning Web Components, use Git for source control, follow Salesforce development lifecycle and best practices, mentor junior teammates, and advise government healthcare clients on modernization and technology adoption while meeting vetting and Public Trust requirements.

As an AI Engineer, you will develop AI security capabilities, integrate features for vulnerability detection, and maintain APIs for secure interactions while collaborating across teams.

Develop and support high-quality software solutions for compute platforms, workflow, messaging, and observability systems, ensuring scalability and efficiency.

Design and build scalable, reliable backend services in Python to support task planning and robotic workflows. Develop event-driven, messaging-based systems, collaborate with robotics engineers to integrate backend with hardware, improve performance and maintainability, and participate in code reviews and architecture decisions.

Build and optimize high-performance C/C++ and Rust server applications and feed handlers for market data. Implement parsers, petabyte-scale processing tools, and low-latency, high-throughput optimizations. Collaborate on build/deploy/CI, monitoring, and ensure reliable feature rollouts.

Lead technical design and execution for an AI/ML mission platform: drive architecture decisions, lead major engineering epics, simplify distributed systems, optimize edge and cloud performance, mentor engineers, integrate ML models and inference pipelines, and represent technical capabilities to DoD stakeholders.

Design, implement, and test robotics algorithms for medical and service robotics applications, focusing on navigation, motion planning, and perception.

Develop and maintain software for robotic systems, focusing on communication libraries, algorithms for automation, and providing support to the team.