Top Tech Jobs & Startup Jobs in Boston, MA

The Solutions Architect will design and build enterprise AI solutions, aid in adopting NVIDIA AI technologies, and work on deep learning applications for customers across industries.

Design and implement software solutions for data management and ingestion across enterprise AI/ML systems. Build and maintain distributed systems, solve complex engineering problems, and collaborate with teams for efficient data management.

As a Hardware Research Intern at NVIDIA, you will design circuit and VLSI techniques, collaborate with teams, and aim to transition research into products.

The Senior Solutions Architect will design, build, and maintain HPC and AI solutions, guiding partners and collaborating on advanced technology deployment.

Develop distributed storage services for AI applications, ensuring scalability, reliability, and performance across large-scale deployments while collaborating with cross-functional teams and automating service management.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

The Senior Research Engineer will develop and optimize Generative AI models and algorithms, focusing on large language models and deep learning architectures while mentoring junior engineers.

The role involves building GPU-accelerated Kubernetes clusters, enhancing APIs for the DGX Cloud Platform, and ensuring user experience. Requires strong skills in Go and Kubernetes services.

The Senior Developer Relations Manager will lead technical collaborations, drive adoption of NVIDIA technologies in genomic platforms, and engage with developer communities.

You will develop NVIDIA's cloud desktop platform, enhance performance, ensure quality code delivery, and contribute to architecture decisions.