Top Tech Jobs & Startup Jobs in Boston, MA

You will develop and analyze safety requirements for NVIDIA's autonomous transportation platforms, ensuring the integration of safety goals and innovative solutions in embedded systems, through technical safety concepts and methods like FMEA and FTA.

The Technical Program Manager will oversee engineering programs for AI initiatives, coordinate cross-team activities, and implement metrics for success while managing global projects effectively.

Join NVIDIA's DGX Cloud team to enhance AI infrastructure by managing GPU resources on kubernetes, ensuring reliability, monitoring performance, and collaborating with teams.

As a Senior MLOps Engineer at NVIDIA, you'll design infrastructure for AI research, build ML pipelines, and collaborate with teams to optimize ML workflows and deployment scalability.

NVIDIA seeks an engineer to develop and optimize algorithms for AI workloads using the Megatron Core and NeMo Framework, focusing on large language models. Responsibilities include performance tuning, model training, and contributing to open-source projects.

As a Partner Enablement Engineer, you will engage with partners, root cause issues with NCCL, analyze performance, develop tools, and provide training.

The Technical Marketing Engineer will design and document reference architectures, create marketing materials, support sales with training, and provide market insights to product teams.

The role involves building and automating GPU infrastructure, enhancing system monitoring, and integrating with multi-functional engineering teams. Applicants should have strong programming skills and familiarity with systems and datacenter operations.

The role involves marketing engineering responsibilities, including designing solutions, creating technical marketing materials, and providing technical training to sales teams. The engineer will also analyze competitive products and collect customer feedback for product improvement.

The role involves developing compute infrastructure for robotics, optimizing GPU use, creating observability tools, and collaborating on AI technologies.