Top Tech Jobs & Startup Jobs in Boston, MA

Plan, execute, and measure Red Hat's sponsorships of third-party, in-person events. Manage budgets, contracts, staffing, on-site logistics, lead generation, and post-event reporting. Build cross-functional stakeholder partnerships and develop event marketing campaigns including email, social, and websites. Track industry trends and optimize processes while traveling up to 30% internationally and domestically.

Lead development and maintenance of the Linux kernel block layer, drive backporting for RHEL, implement customer-facing storage features, resolve kernel performance issues, develop upstream CI tests and automated pipelines, and influence emerging block technologies through upstream contributions and community leadership.

Join Red Hat's OpenStack Engineering team as a Senior Software Engineer focusing on Post-Quantum Cryptography. Responsibilities include integrating quantum-resistant algorithms, analyzing components for dependencies, contributing to OpenStack projects, and collaborating with security teams.

As a Machine Learning Engineer, you will design and develop scalable AI inference systems, collaborate on innovative solutions, and enhance distributed infrastructure using Kubernetes and other technologies.

Lead the implementation of advanced NLP solutions, develop AI/ML applications, oversee model training and evaluation, and collaborate across teams.

The Senior Manager of AI Inference at Red Hat leads engineering teams to innovate in AI and ML, focusing on model performance and MLOps software development. Responsibilities include setting vision, mentoring team members, and engaging in open-source communities.

Collaborate on software features for Red Hat Developer Hub using AI technologies, conduct code reviews, and implement CI/CD practices.

The role involves developing machine learning algorithms, optimizing LLM deployments, and managing deployment pipelines while mentoring team members.

The Senior Machine Learning Engineer will design, develop, and optimize machine learning algorithms, manage deployment pipelines, and mentor junior engineers, focusing on LLM and related technologies.

Lead the development of Azure Red Hat OpenShift, focusing on scalability, AI integration, and lifecycle management while mentoring engineers and collaborating across teams.